Skill 目录

@antv/mcp-server-chart is a TypeScript-based server that enables AI assistants to generate data visualizations using AntV's charting capabilities. Developed by the AntV Visualization Team, it implements the Model Context Protocol to provide a standardized interface for creating various chart types from data. The server exposes chart generation functionality that can be accessed through MCP tools, making it particularly valuable for applications that need to produce visual data representations through conversational interfaces without requiring direct knowledge of visualization libraries.

This MCP server implementation provides web search and webpage scraping capabilities using the Serper API. Developed by Marco Pesani, it offers tools for performing Google searches with rich results and extracting content from web pages. The server is built using TypeScript and integrates with the Model Context Protocol SDK. It focuses on flexible search options, including region and language targeting, and comprehensive content extraction that preserves document structure. This implementation is particularly useful for AI applications requiring up-to-date web information or content analysis, supporting use cases like research assistance, content aggregation, or data mining across various domains.

This MCP server, developed by adhikasp, integrates with Twitter's API to enable AI assistants to interact with the social media platform. It provides tools for searching tweets, retrieving timelines, and analyzing sentiment across multiple accounts. The server stands out by offering a simplified interface for complex Twitter operations, making it easier for AI systems to process and respond to social media data. By connecting AI capabilities with Twitter's vast user-generated content, this implementation empowers AI assistants to handle tasks like social media monitoring, trend analysis, and customer sentiment tracking. It is particularly useful for applications in brand management, market research, or any scenario where an AI system needs to work with real-time social media data.

The DataForSEO MCP server provides AI assistants with direct access to DataForSEO's SEO and marketing analytics APIs. Built with TypeScript, it exposes tools across four main modules: SERP for search engine results, Keywords Data for keyword research, OnPage for content analysis, and DataForSEO Labs for competitive research and market analysis. The server handles authentication with the DataForSEO API, implements field filtering for focused data retrieval, and follows a modular architecture that makes it easy to extend with additional tools. This implementation is particularly valuable for digital marketers and SEO professionals who need to analyze search rankings, research keywords, evaluate competitors, and optimize content without leaving their AI assistant conversation.

This MCP implementation, developed using TypeScript, provides a robust foundation for building and deploying web scraping and automation projects. It leverages the Apify platform and Crawlee library, offering a structured environment for creating scalable web crawlers and data extraction tasks. The implementation includes configuration files for ESLint, TypeScript, and Docker, ensuring code quality and consistency across different development environments. By abstracting common web scraping challenges and providing integration with Apify's cloud infrastructure, this tool enables developers to focus on building complex data acquisition workflows. It is particularly useful for projects requiring large-scale web data extraction, automated testing of web applications, or building AI training datasets from web sources.

Computer Control MCP provides computer automation capabilities through a server that enables AI assistants to control mouse movements, keyboard input, take screenshots, perform OCR, and manage windows. Built with PyAutoGUI, RapidOCR, and ONNXRuntime, it offers similar functionality to Anthropic's 'computer-use' tool but with zero external dependencies. The implementation supports operations like clicking, typing, dragging, capturing screen content with text recognition, and window management, making it particularly useful for automating desktop tasks and enabling AI systems to interact directly with graphical user interfaces.

Backlinks MCP is a FastMCP service that retrieves backlink information for any domain using Ahrefs' data. Developed by cnych, it solves CAPTCHA challenges automatically using CapSolver's API to access Ahrefs' backlink checker, then caches signature tokens to minimize redundant requests. The server exposes a tool that returns detailed backlink data including anchor text, domain rating, and URL information. This implementation is particularly useful for SEO analysis, competitive research, and link building strategies where understanding a website's backlink profile is essential.

A MCP server for Serper that enables AI assistants to perform Google searches via the Serper API. Developed by Gary Meng, this implementation provides a simple interface for querying Google search results with support for various parameters including location, language, and time period filters. The server is designed to be easily integrated with Claude and other AI applications through standard MCP configuration, allowing models to retrieve up-to-date information from the web without direct internet access.

Automates Screaming Frog SEO Spider for website crawling and SEO data extraction. Configure and launch crawls, export results in multiple formats, and manage crawl sessions programmatically. Requires Screaming Frog SEO Spider installed locally.

MCP Excel Server provides a robust interface for Excel file operations and data analysis through the Model Context Protocol. Developed by yzfly, it enables AI assistants to read, write, and analyze Excel files in various formats (XLSX, CSV, TSV, JSON), offering tools for statistical analysis, data filtering, pivot table creation, and visualization through charts and plots. The server leverages pandas, numpy, matplotlib, and seaborn to perform operations like summary statistics, data quality assessment, and visualization export, making it particularly valuable for data analysis workflows where users need to extract insights from spreadsheets without manual manipulation.

Enables automation of Android devices and iOS simulators through a unified API. Supports device listing, screenshots with automatic compression for LLM processing, tap and swipe gestures by coordinates or element text, text input, app launching and installation, UI hierarchy inspection, device logs retrieval, and shell command execution. Provides cross-platform device control for mobile testing and debugging workflows.

This MCP server integrates Google Lighthouse web performance auditing capabilities, built by Daniel Sogl to provide automated website performance, accessibility, SEO, and best practices analysis through the Lighthouse testing framework. The implementation enables programmatic execution of Lighthouse audits against web pages, returning detailed performance metrics, optimization recommendations, and compliance scores that can be used for continuous monitoring, automated testing pipelines, or bulk website analysis workflows.

This Reddit Buddy MCP server by Karan Bansal provides clean, LLM-optimized access to Reddit's public API through five specialized tools for browsing subreddits, searching content, retrieving post details with comments, analyzing user profiles, and explaining Reddit terminology. Built with TypeScript and featuring intelligent caching with adaptive TTL, rate limiting, and optional Reddit OAuth authentication for 10x higher rate limits, it offers robust error handling with detailed user-friendly messages, content filtering options for NSFW posts, and efficient data processing that extracts essential fields while avoiding Reddit's verbose response format. The implementation includes Docker deployment support, both stdio and HTTP transport modes, and comprehensive user analysis capabilities that aggregate posting patterns and subreddit activity, making it ideal for AI assistants that need reliable Reddit integration for content research, social media analysis, and community insights without the complexity of direct API management.

XActions provides browser-based X/Twitter automation without requiring API keys. It includes an MCP server for AI agents, a CLI, browser console scripts, and a web dashboard. Features include unfollowing non-followers, detecting unfollowers via snapshot comparison, downloading videos, scraping profiles and tweets, auto-like/follow/comment automation, and real-time analytics monitoring. The MCP server supports the x402 micropayment protocol for AI agent requests, with pricing for profile scrapes and follower queries. Free for human users under the MIT license.

Full-featured integration with Apache Superset providing 128+ tools covering dashboard management, chart operations, database connections, dataset handling, SQL Lab queries, user and role administration, Row Level Security, and asset export/import. Includes built-in safety validations with confirmation flags for destructive operations and DDL/DML blocking. Supports JWT authentication with auto-refresh and CSRF handling, and offers streamable HTTP, SSE, and stdio transports.

A Model Context Protocol (MCP) server implementation for Google Patents, allowing AI assistants to search and retrieve patent information.

Integrates with the Chart Library visual pattern search engine to analyze stock chart patterns across 15,000+ symbols and 10 years of historical data. Provides tools for pattern matching using ML embeddings, forward return analysis, and market regime identification to support data-driven financial research.

X-Twitter MCP Server provides a bridge between AI assistants and Twitter's API, enabling comprehensive interaction with the platform. Built by Rafal Janicki using FastMCP and Tweepy, it offers tools for user management (profile retrieval, follower/following lists), tweet operations (posting, deleting, favoriting), timeline access, and search functionality. The server handles Twitter API authentication, implements rate limiting to prevent abuse, and supports both v1.1 and v2 API endpoints. It's particularly valuable for developers who need to integrate Twitter capabilities into conversational AI interfaces without managing the complexities of Twitter's API directly.

SEO Monster provides SEO analysis and optimization tools through the Avansaber SEO Monster platform. AI agents can perform keyword research, analyze backlink profiles, run site audits, track keyword rankings, and generate SEO recommendations to improve search engine visibility.

ng-blatui is an Angular UI component library offering 155 components, 16 blocks, 70 charts, and 34 page templates built with Angular signals, zoneless change detection, and Tailwind CSS v4. The MCP server exposes component search and typed API lookup for AI agents, enabling AI-assisted Angular development with the library. Components are WCAG AA accessible, SSR-ready, and implement ControlValueAccessor for both reactive and template-driven forms.

LinkedIn MCP Runner is a server implementation that enables Claude AI to interact with LinkedIn, allowing users to publish posts, schedule content, analyze chats, and retrieve profile information through a set of specialized tools. Developed by Ertiqah, LLC, this Node.js-based server communicates with LinkedIn's API via a backend service at ligo.ertiqah.com, handling authentication through API keys stored in Claude's configuration. The implementation supports various LinkedIn-specific operations including post generation with multiple variants, profile data retrieval, and post analytics - making it particularly valuable for professionals who want to manage their LinkedIn presence directly through Claude without switching contexts.

Semantic search across 20,000+ subreddits for market research, competitive analysis, and customer discovery. Discover relevant communities, track sentiment, identify unmet needs from real user feedback, and manage curated research feeds with persistent storage.

Connects Google Search Console to AI assistants through 8 read-only tools covering performance queries, URL inspection, indexing status checks, and sitemap management. The gsc_audit tool generates self-contained HTML SEO reports with Chart.js visualizations, automatic issue detection, and 30/60/90-day roadmaps. Supports white-label customization for agency client deliverables via branding configuration.

Provides direct control over iOS simulators and physical iPhones through a unified interface that combines Facebook's idb for simulators and WebDriverAgent for physical devices. Features automated device discovery, real-time screen streaming via WebSocket for physical devices, and comprehensive interaction tools including tap, swipe, text input, button presses, screenshot capture, app launching, and UI element scanning. Supports both global and project-scoped setup with auto-configuration for Claude Code, Cursor, Codex, and OpenCode.

A Model Context Protocol server that provides AI assistants with access to MyMCPSpace, a social media platform designed for AI interaction. Developed by glifxyz, this TypeScript implementation enables creating posts, replying to existing content, toggling likes, retrieving feed data, and updating usernames through a set of well-defined tools. The server authenticates with the MyMCPSpace API using a bearer token and handles all communication with the platform's endpoints, making it particularly useful for AI agents that need to participate in social media conversations, share content, or monitor discussions on this AI-native platform.

Access Google search results via SERP API through the AceDataCloud unified API platform. Retrieve search engine results pages with structured data extraction. Available as a hosted service or self-hosted via PyPI.

Diagrams generates cloud architecture diagrams, flowcharts, and sequence diagrams from structured descriptions using the Python diagrams library. Both a remote hosted endpoint and a local PyPI package are available. The server supports major cloud providers including AWS, GCP, and Azure for architecture visualization.

This Replicate MCP server implementation provides a bridge between the Model Context Protocol and Replicate's AI model hosting platform. Developed as an open-source project, it enables seamless interaction with Replicate's diverse collection of machine learning models through a standardized MCP interface. The server supports key operations such as listing available models, creating and managing predictions, and accessing model metadata. Built with TypeScript and leveraging the official Replicate API, it offers robust error handling, caching mechanisms, and webhook support. This implementation is particularly useful for developers and researchers looking to integrate Replicate's hosted AI models into their MCP-compatible applications, enabling easy access to a wide range of pre-trained models for tasks like image generation, text processing, and more.

This Twitter MCP server, developed by Dennison Bertram, enables Large Language Models (LLMs) to interact with Twitter (X) through the Model Context Protocol. Built with TypeScript and leveraging the Twitter API v2, it provides tools for posting tweets, searching tweets, and replying to tweets. The implementation stands out by offering a straightforward setup process and integration with Claude Desktop, making it accessible for users without extensive technical knowledge. It's particularly useful for AI assistants or applications needing to automate Twitter interactions, conduct social media research, or manage Twitter accounts programmatically, enabling tasks like sentiment analysis, trend monitoring, or automated customer engagement.

Provides offline access to complete TwitterAPI.io documentation including 54 API endpoints across 10 categories, authentication guides, rate limiting information, and pricing details. Features fuzzy search with camelCase support and hybrid caching for fast lookups. TwitterAPI.io is a third-party service offering cost-effective Twitter/X data access at 96% lower cost than official Twitter API, with 1000 QPS support and no authentication complexity.

AI SEO is a free, open-source MCP server by AutomateLab that audits web pages across 13 dimensions for AI citation eligibility. It evaluates schema validation, robots.txt compliance, llms.txt standards, entity density, and technical metadata to score how likely AI assistants such as ChatGPT, Perplexity, and Claude are to cite a given page. The server requires no API keys or registration and runs fully locally.

Provides AI assistants with on-demand access to 141 documentation pages, 283 code examples, and 1,098 class API references for amCharts 5. Instead of loading the entire reference into context, the server lets AI query exactly what it needs — specific chart type references, code examples, or API lookups. Supports searching docs, browsing examples by category, and retrieving quick-start templates for any chart type.

WeChat Mini-Program Agent enables AI-driven automation and testing of WeChat Mini Programs through a wrapper around miniprogram-automator's WebSocket interface to WeChat DevTools. Supported operations include page navigation, screenshot capture, UI element interaction, DOM inspection, and scenario testing. A serial execution model ensures predictable test flows for agent-first development workflows.

A Telegram server by Ray Volcy that enables remote control of Claude Code sessions via Telegram bot integration, allowing users to send messages to Claude and receive responses through Telegram while maintaining session state across multiple concurrent projects. The implementation features shared file-based storage for cross-process communication, dynamic polling intervals that adapt based on session activity, and persistent message queuing to handle asynchronous interactions between Claude and Telegram users. Built with session management, file locking for concurrent access, and automatic cleanup of idle sessions, it's useful for developers who want to interact with Claude Code remotely, collaborate on projects through Telegram, or maintain multiple coding sessions accessible from mobile devices.

AI SEO Audit evaluates how well web content can be fetched, understood, and reused by generative AI engines including ChatGPT, Claude, and Perplexity. It analyzes seven categories—content extractability, structure, answerability, entity clarity, grounding signals, authority context, and readability for compression—producing a scored report from 0–100. All processing is deterministic and runs locally with no external API dependencies.

PMControls MCP Server routes project management calculations through the validated pmcontrols library, ensuring deterministic and auditable results for AI-assisted project planning. The server exposes tools for critical-path method (CPM) analysis, PERT scheduling, schedule compression techniques, and earned value management (EVM) computations. Each calculation includes provenance tracking with version, input hash, and timestamp. Visualizations including Gantt charts and S-curves can be generated on demand. Available on PyPI as pmcontrols-mcp.

Generate and edit images using NanoBanana AI models through the AceDataCloud unified API platform. Supports text-to-image generation and image editing with customizable parameters. Available as a hosted service or self-hosted via PyPI.

Provides comprehensive Telegram access through six composite tools covering messages, chats, media, contacts, configuration, and help. Supports dual-mode operation with Bot API via httpx for quick bot integrations and MTProto via Telethon for full user-account access including message search, history browsing, contact management, and group creation. Features three-tier token optimization, tool annotations, and auto-detection of authentication mode.

AutomateLab SEO Performance unifies data from Google Search Console, GA4, Matomo, Microsoft Clarity, and AI citation tracking to assess post-publish content performance. Eight tools grouped across posts, cohort, and GSC categories emit per-URL verdicts—refresh, expand, merge, kill, double_down, or hold—with reason codes and confidence scores. The server runs locally via stdio with credentials provided as environment variables and is available as the npm package @automatelab/seo-performance-mcp.

Connects to Decodo's enterprise web scraping platform to extract web content dynamically with geographic flexibility and advanced anti-detection. Provides specialized tools for general URL scraping, Google Search results, Amazon product searches, Reddit posts, and subreddit content with support for geo-restricted sites, JavaScript rendering, and customizable token limits.

BrowserControl is a browser automation server that enables interaction with web pages through a Set of Marks (SoM) system, where screenshots display numbered interactive elements for precise clicking and interaction. Built using Playwright and FastMCP, it provides persistent browser sessions with automatic cookie and login state management, developer tools integration for console logs and network monitoring, session recording capabilities, and smart navigation that handles localhost connection issues. The implementation is useful for web scraping, form filling, testing workflows, or any task requiring visual web interaction with debugging capabilities.

MCP Remote macOS Server provides secure remote control of macOS machines through VNC protocol, enabling AI assistants to capture screenshots and interact with the remote desktop through mouse and keyboard inputs. The implementation supports Apple Authentication (protocol 30) for secure connections, handles screen scaling for consistent display, and includes comprehensive error handling for connection issues. Built with a focus on security and reliability, this server is ideal for remote administration, automated testing, or AI-powered interaction with macOS systems.

This MCP server provides AI assistants with read-only access to Mailchimp's Marketing API for comprehensive email marketing data retrieval, built by AgentX AI using TypeScript with the Model Context Protocol SDK. The implementation offers extensive coverage of Mailchimp's API endpoints including automation management (classic automations, not automation flows), campaign analytics, list and member management, e-commerce integration, template handling, and detailed reporting capabilities across opens, clicks, bounces, and subscriber activity. Built with proper API authentication, error handling, and structured data responses, it serves marketers needing AI-powered email campaign analysis, teams requiring automated reporting and subscriber insights, and organizations wanting to integrate Mailchimp data into conversational AI workflows for campaign optimization and audience management.

Enables sending notifications across multiple messaging platforms including WeChat Work, DingTalk, Telegram, Bark, Lark, Feishu, Ntfy, PushPlus, and Home Assistant. Supports text, markdown, images, videos, audio, file attachments, and text-to-speech conversion. Provides flexible configuration through environment variables with per-message override capabilities.

This MCP server implementation integrates with the SerpApi Google Search API, enabling access to structured search results data. It is designed to be used with the MCP CLI tool and requires a SerpApi API key for authentication. The server can be useful for applications that need to programmatically access and analyze Google search results, such as SEO tools, market research platforms, or data aggregation services.

Integrates with Apify cloud actors to search Reddit content and monitor for high-intent leads or brand mentions. Provides fast search across posts, comments, and users, plus lead monitoring with noise filtering. Delegates scraping tasks to high-performance cloud infrastructure rather than using Reddit's API directly.

Integrates with the Sequenzy email marketing platform to provide subscriber management, campaign creation, email sequence automation, and analytics. Supports AI-powered email generation, A/B subject line testing, template management, and transactional email sending. Requires a Sequenzy API key for authentication.

This Google News MCP server, developed by Chan Meng, provides a streamlined interface for accessing Google News search results via the SerpAPI. Built with TypeScript and leveraging the MCP SDK, it offers tools to query and retrieve up-to-date news articles, headlines, and related information. By abstracting the complexities of SerpAPI interactions into a standardized MCP interface, it enables AI systems to easily incorporate current news data into their workflows. This implementation is particularly useful for applications involving news aggregation, trend analysis, and information retrieval, facilitating use cases such as personalized news feeds, media monitoring, and real-time event tracking.

Track research attention across news, policy documents, social media, and online platforms

Generate and edit images using Flux AI models through the AceDataCloud unified API platform. Supports multiple Flux model variants including flux-dev, flux-pro, and flux-kontext. Features text-to-image generation, context-aware image editing, task management, and model selection. Available as a hosted service or self-hosted via PyPI.

Generate images using ByteDance Seedream AI models through the AceDataCloud unified API platform. Supports text-to-image generation with customizable parameters. Available via PyPI for self-hosted deployments.

Blueprint is a diagram generation MCP server created by ArcadeAI that leverages Google's Gemini image models to create technical diagrams from text descriptions. The server provides asynchronous job management with tools for starting diagram generation, checking job status, and downloading completed diagrams as PNG files. It supports multiple diagram types including architecture, flowchart, data flow, sequence, and infographic diagrams with configurable aspect ratios and resolutions. This tool is particularly useful for generating visual documentation, system architecture diagrams, and technical illustrations within AI-assisted workflows.

This universal image generator MCP server provides AI assistants with multi-provider image generation and transformation capabilities, supporting Google Gemini, ZhipuAI (CogView-4), and Alibaba Bailian (WanX) through a unified interface. Built by Tony Wang using Python with FastMCP, it features automatic prompt translation and optimization for each provider's preferred language (English for Gemini, Chinese for ZhipuAI/Bailian), comprehensive image transformation tools including URL-based editing with mask support, and flexible input methods supporting base64 encoding, file paths, and public URLs. The implementation includes Docker deployment, automatic filename generation, local image saving with display functionality, and provider-specific optimizations like detailed prompt templates and translation capabilities using each provider's native language models, making it valuable for multilingual image generation workflows, content creation pipelines, and building AI assistants that need access to diverse image generation services without manual API integration.

Provides a unified interface for AI-assisted Godot Engine 4.x game development. Features include live editor manipulation of nodes, properties, and scenes, deep project context analysis of scripts and scene structures, end-to-end game testing with simulated inputs, automatic screenshot capture for visual context, bug fix loops with stack trace analysis, and version-aware documentation queries. Consolidates multiple AI-to-Godot features into a single toolkit with robust WebSocket connections and universal asset resolution.

Provides AI assistants with direct access to Ahrefs' comprehensive SEO and marketing data through a hosted remote endpoint. Supports keyword research and difficulty scoring, backlink analysis, organic traffic and ranking metrics, rank tracking with historical comparisons, competitor intelligence, and batch domain/URL analysis. Available on all paid Ahrefs plans with API unit quotas scaling by subscription tier.

Provides AI agents with access to the BlatUI component library — a shadcn/ui-inspired collection of Blade, Laravel, Alpine.js, and Tailwind CSS components. Enables discovery, reading, and installation guidance for UI components, blocks, and charts via a hosted MCP endpoint.

Distribea provides AI-powered creative content generation tools including video, image, and music production, along with access to a royalty-free media library. Enables AI agents to generate and manage creative assets programmatically through a unified API platform.

Automates content distribution across multiple developer and social publishing platforms. Publish articles, announcements, and updates simultaneously to DEV.to, Hashnode, GitHub Discussions, Reddit, Bluesky, LinkedIn, and Medium from a single MCP tool call.

Scavio connects AI agents to real-time search and data extraction across major platforms including Google, YouTube, Amazon, Walmart, TikTok, and Reddit. Provides 21 structured data tools through a single authenticated API endpoint. Requires a Scavio API key.

CAFE provides AI agents with access to Dangamsoft's classical East Asian knowledge engine for Korean Saju (Four Pillars of Destiny) analysis. Five tools cover full Saju chart generation from birth date and time, five-element (Ohaeng) balance scoring, Gyeokguk pattern classification, Yin-Yang Johu harmony assessment, and Yongshin candidate determination. The underlying engine combines classical theory with machine learning, achieving 91.1% accuracy on five-class Yongshin classification.

This Reddit MCP server, developed by adhikasp, provides AI assistants with a standardized interface to interact with Reddit content. Built using Python and leveraging libraries like PRAW and RedditWarp, it offers capabilities for fetching hot threads, detailed post content, and comments from any subreddit. The server supports different post types including text, links, and galleries. It's designed for flexibility, allowing easy installation and usage through the MCP client CLI. This implementation is particularly valuable for AI assistants focused on social media analysis, content curation, and trend monitoring, enabling use cases such as summarizing popular discussions, tracking emerging topics, and analyzing user engagement across Reddit communities.

Provides AI agents with access to Twitter/X data through the ScrapeBadger scraping API. Supports retrieving user profiles, follower and following lists, individual tweets, user tweet streams, tweet search with advanced operators, global and location-specific trends, Twitter lists, and communities.

LinkedIn Tools is an unofficial community MCP server enabling AI agents to interact with LinkedIn. It supports searching profiles and jobs, reading the feed, accessing profile data, messaging, and gated write operations. Published as an npm package for stdio-based use.

Hookwarden is a local MCP server that exposes a scan_handler tool for auditing webhook handler code. It checks signature-verification logic for correctness across 20+ providers including Stripe, GitHub, Shopify, and Twilio, returning a three-state verdict without sending any data off-machine. The underlying engine is pure-functional with no I/O or network calls, making results fully deterministic and reproducible across CI, CLI, and MCP environments.

ilo415 Research provides AI-powered research tools for agents, covering company intelligence, competitor analysis, web scraping, and deep topic investigations. Payments are handled via micropayment protocol (MPP), enabling pay-per-query research at scale.

Analook delivers comprehensive competitor intelligence including SEO metrics, web traffic analysis, social media data, Product Hunt rankings, pricing comparisons, and AI-generated competitive insights for business research agents.

Provides access to the Zernio social media management API through 273 MCP tools spanning content posting, analytics, inbox and comment management, advertising campaigns, contacts, WhatsApp Business features, webhooks, and automation. Supports 14+ platforms including Twitter/X, Instagram, Facebook, LinkedIn, TikTok, YouTube, and Reddit. Authenticated via API keys from the Zernio settings dashboard.

Run a local Node.js server that receives WebP browser screenshots from the SnapStack browser extension, stores them at ~/.snapstack/, and exposes them to MCP clients. Provides tools to list, count, and clear pending captures, with all processing staying on localhost for privacy.

The TradingView Chart MCP server enables AI assistants to capture and share TradingView chart images directly through a Selenium-based scraper. Developed by ertugrul59, this implementation authenticates with TradingView using session cookies, navigates to specific chart layouts with customizable tickers and timeframes, and captures screenshot links that are converted to direct image URLs. The server exposes both a primary tool for fetching chart images and several prompt templates for natural language interaction, making it valuable for traders, analysts, and financial advisors who need to quickly reference and share market charts without leaving their conversation context.

MCP server for Chrome browser automation via a companion Chrome extension. Provides 50+ tools covering navigation, element clicking, text input, screenshot capture, touch gesture simulation, macro recording and replay, DevTools inspection, and accessibility auditing. Communicates with the extension via a local WebSocket bridge at localhost:7890. Written in TypeScript, Apache 2.0 licensed.

The official Shopsys MCP server provides tools for integrating with the Shopsys e-commerce platform, enabling AI agents to access product catalogs, manage orders, and interact with storefront data. Built and maintained by the Shopsys team, it connects AI assistants directly to the Shopsys platform API.

Browserplex is an MCP server for managing multiple concurrent named browser sessions built on Playwright. It supports Chromium, Firefox, WebKit, and Camoufox (stealth Firefox) browsers. Key features include isolated session management, screenshot capture with automatic LLM-optimized resizing, structured content extraction preserving semantic markup, comprehensive browser interactions (clicking, typing, JavaScript evaluation), tab management, and console/network debugging capabilities. Solves the limitation of standard Playwright MCP servers which don't support concurrent multi-user sessions.

An AI-powered diagram and prototype generator MCP server built by SimonUTD that integrates with multiple AI providers (ZhipuAI, OpenAI, Gemini) to automatically generate architecture diagrams, flowcharts, and mobile app prototypes. Features specialized prompt templates for different diagram types including system architecture, Apple mobile prototypes, WeChat mini-apps, and common UI prototypes, with configurable AI model selection and token limits. Designed for developers, architects, and designers who need rapid visual prototyping and diagram generation capabilities integrated into their workflow.

An Apache ECharts MCP server that generates data visualization charts by accepting minimal parameters from LLMs and returning cloud-hosted image URLs. Built by the Apache ECharts team, it takes a focused approach requiring only chart type, data, title, and series name rather than full ECharts configuration objects, ensuring stable and consistent results across eight supported chart types including bar, line, pie, scatter, funnel, tree, treemap, and sunburst. The server renders charts server-side using HTML5 Canvas, uploads images to Baidu Cloud Storage, and returns accessible URLs, making it valuable for creating publication-ready visualizations in AI workflows without requiring users to understand complex charting APIs.

App SEO AI provides a bridge to Google Ads Keyword Planner API, enabling AI assistants to perform SEO research and optimization tasks. The implementation offers tools for keyword research, SERP analysis, and competitor analysis through a Node.js Express server that can be deployed via Docker or Smithery. It handles Google OAuth2 authentication for API access and formats API responses into structured data, making it valuable for content creators, marketers, and SEO professionals who need to research keywords, analyze search results, or evaluate competitor strategies without leaving their AI assistant workflow.

The Facebook MCP server provides AI assistants with direct access to Facebook Page management capabilities through the Graph API. This Python implementation offers tools for creating and managing posts, handling comments, monitoring engagement metrics, and analyzing post performance through detailed insights. The server exposes a comprehensive set of functions for content moderation, including the ability to filter negative comments based on keywords and delete problematic content. Built with FastMCP and structured around a clean API abstraction layer, it enables seamless interaction with Facebook Pages without context switching, making it particularly valuable for social media managers who need to monitor engagement, respond to comments, and analyze post performance metrics through natural language interactions.

Bridges MCP clients to Twitter/X through browser automation using bb-browser and Chrome DevTools Protocol, avoiding the need for official API access. Provides 19 tools covering posting, replying, liking, retweeting, searching, timeline reading, bookmark management, and DM reading via Streamable HTTP transport with OAuth 2.0 authentication.

Jungle Scout MCP connects AI assistants to Jungle Scout's Amazon product research platform. Retrieve keyword search volume and rankings, estimate product sales data, analyze competitor listings, and surface market opportunity data for Amazon sellers. Requires a Jungle Scout API key.

Saju provides Korean Four Pillars of Destiny (Saju/Bazi) functionality through MCP, enabling birth chart calculation, interpretation, compatibility analysis, and daily fortune readings. The server requires a SAJU_API_KEY for access and is distributed as an npm package.

Connects to Publer's social media management platform to schedule and publish posts, upload media, pull analytics including post insights and hashtag performance, and identify optimal posting times across 15+ social networks. Requires a Publer Business plan and API key. Supports both local stdio and Cloudflare Worker deployment.

Multi-Scraper MCP server provides 12 web scraping tools across social platforms, e-commerce, job boards, and local business data via a single Apify-hosted endpoint. Covers Reddit, YouTube, TikTok, Amazon, eBay, Google Maps, Yelp, Indeed (7 countries), and Trustpilot. Pay-per-call pricing at $0.05 per tool invocation with no subscription required.

Provides full LinkedIn API access with OAuth2 authentication for content creation including text, images, video, documents, carousels, and polls. Supports comments, reactions, organization management, per-post and member analytics, media uploads, draft posts, and multi-profile configuration. Works as both a standalone CLI and an MCP server for AI assistant integration.

Improves frontend designs through screenshot-grounded iteration. Captures rendered pages, evaluates visual quality against design goals, and produces improved patches with proof artifacts including before/after screenshots and deterministic checks.

Astral provides astrology data tools for AI agents, including birth chart generation, planetary position queries, transit analysis, and natal chart interpretation. Uses ephemeris data for accurate astronomical calculations.

Built by Olamide Olaniyan, this server provides access to social media data through the SociaVault API across seven major platforms: Instagram, TikTok, Twitter/X, Threads, YouTube, Facebook, and Reddit. It offers 11 specialized tools covering both profile data extraction (followers, bio, verification status) and content retrieval (posts, videos, tweets, subreddit posts). All API calls are authenticated via the SOCIAVAULT_API_KEY environment variable. The implementation is particularly useful for social media analysis, content research, influencer monitoring, and building applications that need real-time access to public social media data across multiple platforms.

Webpage Screenshot MCP server enables AI assistants to capture visual screenshots of web pages using Puppeteer, with specialized support for authenticated workflows and multi-step interactions. Developed by Anand Tyagi, it provides tools for full-page and element-specific screenshots, manual login sessions with cookie persistence, and browser session management across multiple screenshot operations. The implementation supports both headless automation and visible browser modes, can integrate with system default browsers for natural user interactions, and handles authentication flows by allowing manual login followed by automated screenshot capture using saved cookies, making it ideal for monitoring protected web applications, visual verification of development progress, and automated testing workflows that require human authentication steps.

This HubSpot MCP server, developed by peakmojo, provides a streamlined interface for AI models to interact with HubSpot CRM data and operations. Built using Python and the HubSpot API client, it offers tools for managing contacts and companies, including creation and retrieval functionalities. The server implements auto-updating resources and a demonstration prompt to guide users through HubSpot operations. By abstracting HubSpot API interactions into a standardized MCP format, it enables AI systems to easily access and manipulate CRM data. This implementation is particularly valuable for sales and marketing applications, facilitating use cases such as lead management, customer data analysis, and automated CRM updates.

This PiAPI MCP server, developed by an unnamed creator, integrates with the PiAPI image generation service to provide AI-driven image creation capabilities. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a standardized interface for generating images based on text prompts. The server implements environment variable management for API key security and uses strict TypeScript configuration for robust type checking. By abstracting the complexities of the PiAPI service, it enables AI systems to easily create images from textual descriptions. This implementation is particularly valuable for applications requiring programmatic image generation, facilitating use cases such as content creation, visual design assistance, and automated illustration generation.

HDW-MCP-Server provides a bridge between AI assistants and Horizon Data Wave's LinkedIn API, enabling comprehensive access to LinkedIn data and functionality. The TypeScript implementation exposes tools for searching users, retrieving profiles, accessing posts and reactions, managing connections, sending messages, and interacting with companies through the Model Context Protocol. Built with the MCP SDK, it handles authentication via environment variables and includes robust error handling and logging. This server is particularly valuable for use cases requiring LinkedIn data access directly within AI assistant conversations, such as sales prospecting, recruitment research, and professional networking.

GTM Pipeline provides 45+ tools for managing B2B lead generation workflows: account and contact management, Apollo.io integration for prospecting, SmartLead email campaign orchestration, LinkedIn automation, and CRM operations. Built on FastAPI with SSE transport and PostgreSQL with pgvector for semantic search.

Profitlee calculates ecommerce profit margins for Amazon FBA, FBM, and TikTok Shop, breaking down fees and providing scenario planning. The base profit calculation works without an API token; advanced scenario tools require a Profitlee Pro subscription.

Integrates with Kit.com (formerly ConvertKit) email marketing platform. Manage subscribers with filters for status, date ranges, and pagination. Create and manage tags, sequences, broadcasts, forms, custom fields, and webhooks through natural language conversations.

Performs automated technical SEO audits by crawling websites with LibreCrawl and reporting issues such as broken links, missing meta tags, redirect chains, and page speed problems. Self-hosted and runs locally without requiring external API access.

This MCP server for Google Jobs search, developed by Chan Meng, provides a standardized interface for querying job listings via the Serp API. Built with TypeScript and leveraging the MCP SDK, it offers a streamlined way to access Google's job search functionality programmatically. The server is designed as a command-line tool, making it easy to integrate into various workflows and applications. By abstracting the complexities of job search queries into an MCP interface, it enables AI systems and developers to efficiently retrieve and process job listing data. This implementation is particularly useful for applications involving career guidance, labor market analysis, or automated job matching systems.

This D2MCP server by Yasushi Itoh provides AI assistants with direct access to D2 diagram creation and rendering capabilities, integrating with Terrastruct's D2 declarative diagramming language to generate SVG, PNG, and PDF outputs. The implementation supports 20+ built-in themes, programmatic diagram creation with in-memory storage, and file-based operations for persistent diagram management, using external tools like rsvg-convert or ImageMagick for non-SVG format conversion. Built with clean architecture patterns and comprehensive error handling, it enables natural language diagram generation workflows where users can create technical diagrams, flowcharts, and architectural visualizations through conversational interfaces without directly writing D2 syntax.

A comprehensive MLB statistics MCP server built by Ethan Weisberg that provides access to baseball data through the MLB Stats API and pybaseball library, enabling retrieval of Statcast data, FanGraphs statistics, Baseball Reference records, and advanced analytics. The implementation includes tools for player lookups, team statistics, standings, schedules, prospect data, and specialized plotting functions that generate base64-encoded matplotlib visualizations including strike zone plots, spray charts, and batted ball profiles. Features a Next.js client application with OpenAI integration for AI-powered baseball analysis, making it useful for sports analytics, player performance evaluation, team comparisons, and generating data-driven insights about MLB players and teams.

CaptAPI provides structured data extraction from four major social media platforms — YouTube, TikTok, Instagram, and Facebook — through 62 unified MCP tools. It covers transcripts, summaries, comments, engagement metrics, and profile analytics without requiring platform-specific OAuth or API keys. A single CaptAPI key grants access to all endpoints, making it straightforward to integrate social media data into AI workflows.

Connects AI assistants to X (Twitter) data through a hosted Cloudflare Workers endpoint, providing tools to search tweets, retrieve user profiles and followers, browse trending topics and hashtags, and access user timelines. Requires an X API bearer token passed as an authorization header.

Provides account-based marketing data enrichment for AI agents by aggregating data from LinkedIn, Hunter, Perplexity, Tavily, and other sources. Enables contact enrichment, company research, decision-maker discovery, and LinkedIn outreach orchestration with cited data and confidence scores. Pay-per-enrichment pricing via abm.dev.

This MCP server implementation provides a bridge to LinkedIn's platform, enabling AI assistants to perform various LinkedIn operations such as logging in, browsing feeds, searching profiles, viewing specific profiles, and interacting with posts. Developed by alinaqi, it uses Playwright for browser automation and implements secure session management with encrypted cookie storage. The server offers tools for both manual and automated LinkedIn interactions, making it particularly useful for AI applications requiring social media engagement, professional networking, or talent acquisition tasks. It focuses on rate limiting, error handling, and maintaining compliance with LinkedIn's terms of service, ensuring robust and responsible automation of LinkedIn activities.

Provides computer use capabilities through an isolated Ubuntu desktop sandbox environment, implementing Anthropic's computer use API for safe AI agent interaction with desktop applications. Built on the BoxLite sandboxing library, it exposes a unified 'computer' tool that enables mouse control, keyboard input, screenshot capture, and scrolling within a 1024x768 XFCE desktop environment. Designed for AI agents that need to interact with graphical applications, browse the web, or manipulate files while maintaining complete isolation from the host system through hardware-level VM virtualization.

StoreSignal provides intelligence on Shopify stores including installed apps, tech stack, CDN configuration, and market data aggregated over a large store corpus. Enables competitive research and market analysis for the Shopify ecosystem.

This MCP server provides access to Google's "People Also Ask" data through the AlsoAsked API, enabling AI assistants to perform SEO research and content optimization by retrieving hierarchical PAA question data for any search terms. Built by Metehan Yesilyurt using TypeScript with the Model Context Protocol SDK, it offers tools for searching PAA questions with configurable language, region, depth, and freshness parameters, checking account credits and API usage, and retrieving structured question hierarchies with metadata including total question counts and search summaries. The implementation requires an AlsoAsked Pro API key and formats results into clean JSON structures with question levels and child relationships, making it valuable for SEO professionals conducting keyword research, content creators identifying trending questions in their niche, and marketers analyzing search intent across different geographic regions and languages.

This Instagram server, developed for the Model Context Protocol, provides AI assistants with capabilities to interact with Instagram's features and data. It integrates with Instagram's API to enable functionalities like retrieving user profiles, posts, and engagement metrics. The server leverages Puppeteer and Playwright for web scraping capabilities, allowing it to access data not readily available through official APIs. By abstracting Instagram interactions, it enables AI systems to analyze social media trends, manage accounts, and gather insights from Instagram content. This implementation is particularly useful for social media managers, marketers, and researchers who want to leverage AI for Instagram analytics, content strategy, and audience engagement analysis.

Post for Me integration enables AI agents to publish content, schedule posts, and retrieve analytics across 9 social media platforms through the Post for Me API. Supports write-only and read-only modes for controlled access to social publishing workflows.

Provides 28 tools for querying live multi-channel inventory data across Shopify and Amazon. Supports stockout risk assessment, demand forecasting, purchase order creation and management, sales history analysis, and inventory sync operations. All write operations create drafts only, requiring explicit human approval before submission to suppliers.

Chamade enables AI agents to participate in voice meetings and real-time chat across Discord, Microsoft Teams, Google Meet, Telegram, SIP, Zoom, Nextcloud Talk, Slack, and WhatsApp. Handles audio transcription (STT), text-to-speech (TTS), and message relay so agents work entirely in text. Provides 13 tools for managing voice calls, sending direct messages, checking account status, and accessing live transcripts.

RedBook-Search-Comment-MCP is a Python-based MCP server that enables AI assistants to search and analyze content from Xiaohongshu (Little Red Book), a popular Chinese social media platform. Built with Playwright for browser automation, the implementation provides tools for retrieving comments and search results from Xiaohongshu, allowing AI systems to access real-time social media data without direct API access. The server handles web scraping complexities including authentication, pagination, and content extraction, making it valuable for market research, trend analysis, and social media monitoring use cases focused on the Chinese consumer market.

A fast screenshot capture tool optimized for AI vision models, particularly Claude Vision API, that automatically tiles full web pages into 1072x1072 pixel chunks for optimal processing. Built with Puppeteer and Sharp, it features intelligent browser lifecycle management with automatic restarts, memory optimization through page cleanup, and robust error handling with retry mechanisms. The server provides both single screenshot capture and screencast functionality with JavaScript execution capabilities, making it useful for web automation, visual testing, content analysis, and AI-assisted web development workflows where consistent, high-quality screenshots are needed.

This AIWerk integration connects AI agents to the Shopify Admin GraphQL API for managing products, orders, customers, and inventory with full read and write access. Configuration requires a Shopify store domain and Admin API app credentials. The server is installed locally via npm.

Citedy SEO Agent connects to the Citedy platform to automate end-to-end content marketing. It handles trend scouting on X and Reddit, competitor domain analysis, SEO-optimized article generation in 55 languages, and automatic publishing to X, LinkedIn, Shopify, and Facebook. The platform supports AI-generated illustrations and voice-over narration, along with cron-based scheduling for recurring content sessions.

A TypeScript MCP server that integrates with TwitterAPI.io to provide read-only access to Twitter/X data. Offers 12 tools for searching tweets with advanced operators, fetching user profiles and follower lists, retrieving replies, quotes, and retweets, and browsing trending topics by location. Write operations are intentionally excluded for safe autonomous agent use.

MCP Server Pentest is a browser automation tool that enables AI assistants to perform security testing for web applications, specifically focusing on XSS and SQL injection vulnerability detection. Built on Playwright and Firefox, it provides tools for automatically testing URL parameters against common attack vectors, capturing screenshots of vulnerable pages, and manipulating web elements through various interaction methods. The server includes comprehensive error handling with fallback mechanisms for strict mode violations, making it particularly valuable for security professionals who need to conduct preliminary vulnerability assessments without leaving their AI assistant interface.

Markifact is an AI marketing agent that connects AI clients to advertising and marketing platforms including Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, GA4, BigQuery, Shopify, and HubSpot. It supports live operations such as campaign management, account audits, creative rotation, and data analysis. Write operations require explicit user approval, and it authenticates via OAuth 2.1 with encrypted credential storage.

Pipeworx-hosted MCP server wrapping the Serper Google Search API (serper.dev). Provides real-time Google Search results including organic listings, knowledge panels, and news. Connect via the hosted streamable-HTTP endpoint at gateway.pipeworx.io using a Serper API key.

ArtifactHub MCP Server provides a bridge to Artifact Hub's Helm chart repository, enabling AI assistants to interact with Helm charts through five specialized tools. It allows retrieving chart information, accessing default values.yaml files with fuzzy search capabilities, and exploring chart templates with context-aware searching. Built with TypeScript and packaged as a Docker container, this implementation makes it particularly valuable for Kubernetes administrators and developers who need to quickly reference, search, or analyze Helm chart configurations without leaving their AI assistant conversation.

Integrates with BulkPublish, a social media management platform supporting 11 networks. Provides tools for publishing content, scheduling posts, and managing social media accounts through BulkPublish's API. Requires a BulkPublish API key starting with bp_ for authentication.

MCP Reddit is a server that enables AI assistants to extract content from Reddit discussions without requiring an API key. Developed by Andi Ellison, this Python implementation uses both API and HTML parsing methods to retrieve post metadata and comments from Reddit threads. The server exposes a single tool called 'reddit_extract' that accepts a Reddit URL and returns formatted discussion data including the post content, author information, and comments. It's particularly useful for research, content analysis, and staying updated on Reddit discussions while avoiding API rate limits and authentication requirements.

X Tools for Claude MCP is a lightweight toolkit that enables Claude AI to search Twitter with natural language queries and display results based on user intent. Built with Node.js and the Model Context Protocol SDK, it leverages the RapidAPI Twitter154 endpoint to provide advanced search capabilities including filtering by keywords, users, dates, and engagement metrics. The implementation formats tweets with clean markdown, supports pagination for larger result sets, and intelligently adapts its response style based on whether users want raw data viewing or analytical insights, making it particularly valuable for researchers, marketers, and social media analysts who need to quickly access and understand Twitter content.

Mac Control provides 63 MCP tools for macOS automation written in native Swift with no external runtime dependencies. Tools cover screen capture, OCR, mouse and keyboard input, Windows UI Automation, Safari and Chrome browser automation via accessibility API, clipboard management, Spotlight search, file dialog control, and window/application management. Distributed as a signed, notarized macOS application bundle requiring no external runtimes.

Computer Use MCP enables AI agents to drive a local desktop through mouse clicks, keyboard input, scrolling, dragging, and screen capture. Written in Rust with cross-platform support for Windows, Linux (Wayland), and macOS 14+. Screenshots are downscaled by default, with automatic coordinate remapping back to actual desktop resolution. Exposes tools either as a single batched computer_use action or as individual split tools, matching the OpenAI Computer Use Agent specification.

Captures the frontmost macOS application, window title, browser URL every 5 seconds, and screenshots every 30 seconds, classifying activities using a locally-running Ollama model. Builds a searchable record of people, documents, links, and tickets encountered during the workday. An MCP server lets Claude query this local activity history with natural language. All processing is fully local with no cloud dependencies or telemetry.

Provides managed access to Postscript's SMS marketing platform designed for Shopify stores. Enables AI agents to query subscriber lists, campaign performance, and messaging data through the Pipeworx gateway. Postscript specializes in SMS marketing automation for e-commerce.

Pipeworx ActiveCampaign provides AI agents with access to ActiveCampaign's email marketing and CRM platform through the Pipeworx gateway. Manage contacts, campaigns, automations, and customer data via API v3 using a hosted MCP endpoint.

WordPress is a TypeScript MCP server that enables AI agents to manage WordPress sites through the WordPress REST API. It supports creating, reading, updating, and publishing posts and pages, uploading media, working with Gutenberg blocks, and integrating with Yoast SEO and RankMath plugins. Multi-site capable, it connects using standard WordPress Application Password credentials.

MCP server for Bing Webmaster Tools that provides AI assistants like Claude and Cursor with access to the complete Bing Webmaster API functionality. Developed by Kuba Serafinowski, this Python implementation creates a bridge between AI assistants and Bing's site management, URL submission, traffic analysis, crawling, keyword analysis, and content management capabilities. The server dynamically wraps all API methods from the underlying bing-webmaster-tools library as MCP tools while preserving their signatures and documentation, making it particularly useful for SEO professionals who want to manage their Bing Webmaster accounts through natural language interactions.

An MCP server that bridges Claude to TradingView Desktop using the Chrome DevTools Protocol for local automation. Provides 81 tools for controlling charts, writing and executing Pine Script, managing watchlists and scans, controlling replay mode, setting alerts, and streaming live market data. Operates entirely locally — no data leaves the machine. Uses stdio transport.

Content Calendar AI provides tools for planning, scheduling, and tracking content publication across channels. It supports editorial workflow management with deadline tracking, content gap analysis, and publishing schedule optimization.

This MCP client, developed by an unspecified author, enables integration with Audiense's audience insights platform. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides tools for accessing Audiense's API to retrieve audience data and insights. The implementation focuses on simplifying authentication and data retrieval from Audiense, offering functionality to query audience information. It includes optional integration with the Twitter API for enhanced capabilities. This client is particularly useful for applications requiring programmatic access to audience analytics, enabling use cases such as targeted marketing campaigns, social media strategy development, and demographic analysis without directly handling API authentication complexities.

This MCP server converts video files to high-quality GIF animations using FFmpeg with optimized palette generation and Lanczos scaling. Built by Anand Tyagi with fluent-ffmpeg and automatic FFmpeg installation, it offers customizable output settings including FPS (1-30), dimensions with aspect ratio preservation, and precise time-based extraction of video segments. The implementation includes a 120-second timeout for processing, progress monitoring, and saves GIFs in the same directory as source videos, making it valuable for creating animated previews, social media content, or documentation assets from video files.

This server provides CPU-based Stable Diffusion image generation capabilities through the ncnn neural network inference framework, enabling offline text-to-image generation without GPU requirements. Built in C++ as a stdio-based MCP server, it exposes a text-to-image tool that accepts prompts and generates PNG images with configurable parameters including dimensions, inference steps, seed control, and multiple output formats. The implementation leverages ncnn's lightweight inference engine to run stable diffusion models entirely on CPU, making it valuable for environments where GPU access is limited or unavailable, edge computing scenarios, and developers who need local image generation without cloud dependencies.

DiffuGen is an AI image generation MCP server that provides a flexible interface for creating images using multiple stable diffusion models like Flux, SDXL, and SD3. Developed by CloudWerx, it supports advanced configuration options including prompt engineering, model selection, and generation parameters, with robust error handling and logging. The implementation is designed to simplify AI image generation workflows by providing a standardized, configurable tool for developers and creative professionals.

The GPT-Image-1 MCP server provides AI assistants with direct access to OpenAI's gpt-image-1 model for image generation and editing. Developed by CLOUDWERX, this TypeScript implementation exposes two primary tools: create_image for generating new images from text prompts, and create_image_edit for modifying existing images. The server handles all OpenAI API interactions, supports file paths or base64 encoded images as inputs, saves generated images to a configurable output directory, and provides detailed responses with token usage statistics. It's particularly valuable for users who need to generate or edit images without leaving their AI assistant conversation context, making it ideal for creative workflows, design iterations, and visual content creation.

Gemini MCP Server provides a bridge between Claude Desktop and Google's Gemini AI for image generation, enabling users to create images directly through conversational interaction. Built by Garblesnarff, the server implements a JSON-RPC protocol that allows Claude to call the generate_image tool, supporting configuration of model parameters like temperature and style. It's particularly useful for users who want seamless, configurable image generation within their AI workflow.

This MCP server, developed by Bary Huang, integrates with Unipile to provide a unified interface for accessing messages across multiple messaging platforms including LinkedIn, WhatsApp, Instagram, Messenger, and Telegram. It offers tools for retrieving chat messages with pagination support, making it particularly useful for AI models to interact with diverse communication channels through a standardized protocol. The implementation is containerized for easy deployment across various Linux architectures and includes detailed setup instructions for both Docker and local environments. It's designed for users who need to manage communications across multiple platforms efficiently, especially beneficial for professionals leveraging AI capabilities to enhance their networking and communication strategies.

This PageSpeed MCP server, developed by Phiality, integrates Google's PageSpeed Insights API with AI assistants to enable comprehensive web performance analysis. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides detailed metrics on Core Web Vitals, best practices, SEO, accessibility, and resource optimization. The server implements error handling, custom configurations, and uses a standardized JSON response structure. By abstracting the complexities of performance auditing, it allows AI systems to easily analyze and interpret website performance data. This implementation is particularly valuable for applications requiring in-depth web performance insights, facilitating use cases such as SEO optimization, user experience improvement, and technical website audits.

The macOS GUI Tools server provides AI assistants with the ability to interact with native macOS applications through a set of specialized tools. Built with Python using the FastMCP framework, it enables operations like capturing screenshots of applications, identifying UI elements (buttons and text areas), moving the mouse cursor to specific coordinates, clicking, and typing text. The implementation supports various Apple applications including Notes, Safari, Mail, and others by leveraging the macOS accessibility framework to extract UI element information. This server is particularly valuable for workflows requiring desktop automation within AI assistant conversations, allowing users to control their Mac applications without manual intervention.

Runs locally and gives AI models web-browsing capabilities including internet search, full-page screenshots, and clean text extraction from websites. Designed for local LLMs running in environments like SillyTavern with Gemma or Qwen models. Accessible as an HTTP endpoint at localhost:4242/mcp.

Kapruka provides a free public MCP server for accessing its product catalog as Sri Lanka's largest e-commerce platform. The server exposes tools for product search, category browsing, delivery verification by city, and individual product lookups. Requests are rate-limited at 60 per minute on the free tier with read-only access and server-side caching.

Telegram Personal provides AI clients with access to personal Telegram accounts via the official Telegram API. The server enables chat history summarization, message search, unread message triage, reply drafting, and group management. Users supply their own Telegram API credentials from my.telegram.org to authenticate and connect their accounts.

Big Boss Bot's MCP server exposes real-time open-source intelligence to AI agents through a local stdio interface, offering read-only access to data aggregated from 50+ sources including news feeds, Telegram channels, military tracking, financial markets, and conflict monitoring. The sidecar authenticates via API tokens generated in the main dashboard's account settings. Distributed as part of the self-hosted Big Boss Bot application, deployable via Docker Compose.

ConsentGate MCP server enables AI agents to request human approval before executing sensitive actions. Agents call the provided tools to check actions against a consent policy or submit approval requests that route to the user via Telegram. The server operates fail-closed, blocking actions when consent cannot be obtained. API keys are obtained from consentgate.fyi.

An MCP server that monitors the official MCP Registry for changes and delivers real-time notifications across multiple channels. Features include configurable polling intervals, smart change detection (new servers, updates, removals), flexible filtering by namespace and keywords, and a complete audit trail of modifications with timestamps. Supports notification delivery via Discord (rich embeds), Slack (interactive messages), Email (immediate, hourly, daily, weekly digests), generic webhooks, RSS/Atom feeds, Telegram, and Microsoft Teams (Adaptive Cards). Includes a REST API for subscription management, a web dashboard built with React/TypeScript/Tailwind, a CLI tool for local monitoring, and a Go SDK for embedding.

Provides a collection of web analysis APIs payable via the x402 protocol with USDC on Base. Includes tools for Core Web Vitals, security header audits, SEO analysis, email security checks, brand asset extraction, redirect chain tracing, tech stack detection, and domain availability checking. Each tool offers free preview endpoints for verification before payment.

A Python-based MCP server that provides SEO analysis and optimization recommendation tools. It integrates with Claude and other MCP clients via stdio transport.

KeywordsPeopleUse MCP Server integrates with the KeywordsPeopleUse API to provide AI assistants with keyword research capabilities through a standardized interface. Built with Node.js using the Model Context Protocol SDK, it offers four specialized tools: retrieving People Also Ask questions, Google Autocomplete suggestions, Reddit and Quora questions, and semantic keywords - all with language and country localization options. The implementation supports both local usage through direct configuration in Claude Desktop or Cursor, and remote access via mcp-remote proxy, making it valuable for content creators, SEO specialists, and marketers who need to understand search intent and discover relevant topics for their content.

MCP server implementation for kwrds.ai's keyword research and SEO API that provides AI-powered keyword analysis, SERP data, and content generation tools. The implementation exposes comprehensive keyword research capabilities including search volume analysis, competition data, People Also Ask questions, LSI keyword generation, URL ranking analysis, and AI-driven content creation for SEO outlines and meta descriptions. Built with response size limiting and truncation utilities to prevent conversation limits, it's designed for SEO professionals, content marketers, and developers who need programmatic access to keyword intelligence and search engine optimization data through conversational AI interfaces.

This MCP server provides integration with SEO Review Tools API for comprehensive SEO analysis and optimization workflows, built using Node.js with the Model Context Protocol SDK and Express for both stdio and SSE transport modes. It offers eight specialized tools for website traffic analysis, authority score checking, backlink discovery, SERP data retrieval, keyword statistics and suggestions, bulk website traffic analysis, and SEO content scoring with optimization recommendations. The implementation uses a modular tool discovery system that automatically loads API endpoints from organized file structures, handles authentication via environment variables, and includes proper error handling and parameter validation for all SEO operations, making it valuable for digital marketing workflows, competitive analysis, and automated SEO auditing where AI assistants need programmatic access to professional SEO metrics and insights.

Enables Google search functionality with automatic browser fingerprint rotation per request using Camoufox for stealth web scraping. Offers two modes: lite mode for reduced traffic returning organic results only, and full mode extracting comprehensive data including sitelinks, People Also Ask questions, related searches, and knowledge graphs. Supports location targeting via protobuf encoding with UULE format, validated country and language codes, and time-based filtering options.

This MCP server provides team-based social media functionality for AI agents, enabling them to authenticate, create posts with tags and threading support, and read posts with filtering capabilities through integration with an external social media API. Built by 2389-research using TypeScript with a FastAPI Python backend, it features session management for multi-agent environments, comprehensive rate limiting and authentication middleware, structured logging with Prometheus metrics, and Docker deployment support. The implementation uses a global session approach for MCP connections, supports cursor-based pagination, reply threading with parent post validation, and includes extensive test coverage with both unit and integration tests, making it valuable for AI agent collaboration scenarios where multiple agents need to share information and coordinate through a social media-like interface.

This Placid.app MCP server, developed by Felipe Restrepo, integrates with Placid's API to provide image generation capabilities for AI workflows. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for listing templates and generating creatives using dynamic content. The implementation focuses on secure API token management, error handling, and type safety, making it accessible for AI assistants or applications needing to create visual content programmatically. It's particularly useful for tasks like social media post creation, marketing material generation, or dynamic image production, enabling quick access to Placid's template-based image creation without requiring deep knowledge of the underlying API complexities.

This MCP server provides Twitter functionality through the twikit library, enabling AI assistants to interact with Twitter without requiring official API access by using browser session cookies (ct0 and auth_token) for authentication. Built with Python and supporting both tools and resources, it offers capabilities including posting tweets, searching content, retrieving timelines, getting user information, liking and retweeting posts, with intelligent client caching to maintain authenticated sessions across multiple operations. The implementation is valuable for social media automation, content monitoring, and Twitter integration workflows where traditional API access may be limited or unavailable.

The Lead Generation Server is a production-grade system built on the MCP Python SDK that enables AI assistants to discover and enrich business leads through multiple data sources. It implements a complete lead lifecycle with UUID-based tracking, leveraging Google CSE for discovery, Hunter.io and Clearbit for data enrichment, and LinkedIn scraping via Playwright for deeper insights. The server features smart caching with Redis, asynchronous processing for high concurrency, and comprehensive monitoring via Prometheus. Particularly valuable for sales teams and marketers who need to generate qualified leads without switching between multiple tools, it provides a unified API for lead generation, enrichment, and maintenance operations.

Generates and updates professional CVs by automatically aggregating data from multiple sources including git commits, Jira tickets, Credly badges, and LinkedIn profiles. Analyzes code contributions and work achievements to extract quantifiable metrics and impact statements, then formats them into LaTeX-compatible documents with configurable bullet point limits and ATS-friendly formatting. Supports multi-repository configurations for freelancers and consultants, includes PDF parsing capabilities for enhancing existing CVs, and provides comprehensive tooling for career documentation automation.

This MCP server implementation provides a bridge to Cloudflare's Browser Rendering API, enabling web scraping and screenshot capture capabilities. It utilizes Puppeteer for browser automation and offers endpoints for content extraction and screenshot generation. The server is designed for use cases requiring dynamic web content processing, such as data extraction from JavaScript-heavy websites or automated visual testing of web applications.

This MCP server provides browser automation capabilities through Chrome's debugging protocol with session persistence, enabling AI agents to control Chrome instances for web scraping, testing, and automation tasks. Built using TypeScript with puppeteer-core and the Model Context Protocol SDK, it offers tools for taking screenshots in multiple formats (PNG, JPEG, WebP), navigating to URLs, clicking elements, typing text, and retrieving page content while maintaining browser sessions across multiple interactions. The implementation features automatic browser discovery, connection management with configurable debugging ports, error handling with detailed responses, and support for both headless and headed Chrome instances, making it valuable for automated testing workflows, web data extraction, and building AI assistants that need persistent browser control without manual Chrome DevTools access.

Open-source Windows MCP server for AI assistants. File, clipboard, screenshot, process & power mgmt.

This Shopify MCP server, developed by Amir Bengherbi, enables AI agents to interact with Shopify stores through GraphQL API. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides tools for managing products, customers, orders, discounts, and more. The implementation focuses on comprehensive store management capabilities, with features like advanced order querying, webhook management, and draft order creation. It's particularly useful for e-commerce businesses and developers looking to automate Shopify operations, enabling use cases such as inventory management, customer segmentation, and sales analysis without dealing directly with Shopify's API complexities.

This Shufersal MCP server provides automated shopping capabilities for the Israeli supermarket chain Shufersal through browser automation using Puppeteer, developed by Mati Horowitz. The implementation enables AI assistants to create shopping lists from recipe links, search the Shufersal product catalog with personalized results for logged-in users, and add items directly to the shopping cart through a headless browser that maintains user session data. Built with TypeScript and the MCP SDK, it offers specialized tools for reading webpage content and converting it to shopping lists, making it valuable for meal planning workflows where users want to automatically populate their Shufersal cart from recipe ingredients found online.

Smartlead MCP Server provides a structured interface to the Smartlead email marketing API, organizing capabilities into logical categories like campaign management, lead handling, and email delivery. Developed by Jonathan Politzki, it implements a tiered licensing system (Free, Basic, Premium) that controls access to advanced features such as client management, webhooks, and smart delivery tools. The server supports multiple operation modes including standard STDIO communication and Server-Sent Events for web clients, with optional Supergateway integration for enhanced functionality. Particularly valuable for businesses managing email campaigns, lead tracking, and email deliverability optimization through a standardized protocol.

Channel Memory provides persistent storage for Discord and Telegram channel conversations, saving messages locally and independent of Claude Code sessions. The daemon continuously stores all channel messages without loss, and automatically injects relevant context when starting new sessions. Features hybrid search combining FTS5 keyword matching with vector similarity, along with tools for reading daily logs and checking daemon status.

Telegram notification MCP server developed by kstonekuan that enables AI assistants to send messages and notifications directly through Telegram's Bot API. The implementation allows for automated messaging workflows where AI agents can deliver alerts, updates, or responses to users via Telegram channels or direct messages, making it useful for monitoring systems, automated reporting, or creating conversational bots that need to reach users on the popular messaging platform.

Integrates with Google Flights through SerpAPI (with fast-flights as a fallback) to provide comprehensive flight search capabilities through natural language interactions. Offers specialized search tools for one-way, round-trip, multi-city, and date-range queries with filtering options for airlines, stops, departure times, and seat classes. Includes utility functions for airport lookup, price comparison across nearby airports, and Google Flights URL generation for direct booking, along with curated prompt templates for common travel scenarios like business trips, family vacations, budget backpacking, and last-minute travel.

Aster Finance API integration that provides comprehensive access to cryptocurrency futures trading data through 12 specialized tools for market analysis and monitoring. Built by kukapay, the implementation connects to the Aster Finance API (fapi.asterdex.com) to fetch kline/candlestick data, index and mark price information, premium index data, funding rates, 24-hour price statistics, order book data, and recent trades across various trading pairs. All data is returned as formatted Markdown tables using pandas for processing, making it valuable for traders and analysts who need real-time crypto derivatives market data for technical analysis, risk management, and automated trading strategies without manually interfacing with the exchange API.

Complements the official W&B MCP server with advanced analytical capabilities including hyperparameter importance ranking with R² metrics, sweep summaries combining best and worst run analysis, structured run comparisons, and regression detection using z-tests against baseline runs. Generates Plotly charts exported as inline base64 PNG images. Supports relative-date filtering, optional run and sweep actions via --enable-actions flag, local stdio and HTTP bearer-token transports, and OpenTelemetry observability. Requires Python 3.11+.

This MCP server provides Excel file manipulation through the Spire.XLS library, enabling AI assistants to create, read, modify, and convert Excel workbooks without requiring Microsoft Office installation. Built by E-iceblue using Python with comprehensive Excel operations including data reading/writing, formula application, chart creation, pivot table generation, cell formatting with conditional formatting support, worksheet management, and file conversion to multiple formats (PDF, HTML, CSV, images, XML). The implementation features intelligent header detection for data imports, extensive styling capabilities with fonts/colors/borders, autofilter functionality, JSON import/export, and shape image extraction, making it valuable for data analysis workflows, report generation, dashboard creation, and any automation requiring robust Excel file processing with high-fidelity format conversion capabilities.

This MCP server provides AI assistants with direct access to YouTube's Data API v3 and transcript extraction capabilities, featuring 14 specialized tools for video analysis, channel management, playlist operations, and content discovery. Built with Python using FastMCP and httpx, it supports comprehensive video metadata retrieval, engagement analysis with calculated metrics like like rates and comment rates, trending video discovery by region, advanced search with multiple sorting options, and automatic transcript extraction using the youtube-transcript-api library. The implementation includes intelligent URL parsing for various YouTube formats, robust error handling with quota management, and engagement benchmarking against industry averages, making it valuable for content research workflows, social media analysis, educational content curation, and building AI assistants that need programmatic access to YouTube's full data ecosystem without manual platform navigation.

A powerful, provider-agnostic image generation suite for any MCP client. Uses the Nano Banana (google/gemini-2.5-flash-image) model via OpenRouter (by default) to provide a rich set of tools including generate, edit, restore, diagram, icon, and story generation.

MCP Replicate Flux provides a bridge to Replicate's AI image generation models, enabling Claude to create images from text prompts. The implementation uses Node.js to handle the communication between Claude and Replicate's API, and automatically uploads generated images to cloud storage (Cloudflare R2) for easy access. Built with the Model Context Protocol SDK, it exposes a single tool for image generation that accepts a prompt and filename parameter, returning both a confirmation message and the URL to the stored image. This server is particularly useful for creative workflows where visual content generation enhances the conversation experience.

Space Frontiers MCP Server implements an interface to the Space Frontiers API, allowing language models to interact with various Space Frontiers data sources through defined tools. Built with FastAPI and FastMCP, it provides two main tools: 'simple_search' for keyword searches and 'search' for semantic searches across library, telegram, or reddit databases. The server supports authentication via API keys through environment variables or request headers, making it flexible for both direct integration and public access through the hosted endpoint at mcp.spacefrontiers.org.

Ecommerce AI provides tools for managing product catalogs, analyzing pricing strategies, and optimizing ecommerce operations. It supports online retail workflows with inventory management, product description generation, and conversion analysis.

The Wix MCP Server enables AI assistants to build and manage websites with Wix business solutions through natural language prompts. Built by Wix, it provides tools for creating eCommerce stores, booking systems, payment processing, events management, blogs, CMS, and CRM functionality without leaving the AI conversation context. The server features a three-step workflow where users configure the server, describe their project requirements, and execute code to launch and manage their website. With security certifications including PCI DSS Level 1 and SOC compliance, plus industry-leading uptime through multi-cloud hosting and DDoS protection, it's particularly valuable for developers who want to rapidly deploy functional websites with complex business capabilities.

Built by netflyapp, this server provides complete API integration with the FluentCRM WordPress email marketing plugin. It offers over 30 specialized tools covering all major FluentCRM operations including subscriber CRUD, tag/list assignments, email template management, automation funnels, custom fields, and reporting. The implementation features Basic Auth authentication, error handling, and Smart Links support with graceful fallbacks for unavailable endpoints. It includes helper methods for shortcode generation and data validation, making it useful for building email marketing assistants, automated customer segmentation workflows, and integrated CRM management tools.

Human-in-the-loop server that enables AI agents to request approval or ask questions from humans via Slack, Telegram, or CLI channels. Provides two core tools: ask_human for getting text responses to questions and request_approval for binary approve/deny decisions with contextual details. Features configurable timeouts, audit logging to JSONL files, and Docker deployment support with SSE transport for remote connections. Useful for scenarios requiring human oversight in automated workflows, such as deployment approvals, content moderation, or gathering user input during AI decision-making processes.

Google SEO MCP Server exposes over 100 tools for SEO analysis by integrating Google Search Console, Google Analytics 4, Lighthouse, Chrome UX Report, SERP, and Google Trends via OAuth. It supports cross-platform journey analysis, opportunity matrices, traffic health checks, revenue attribution, and anomaly detection, with anti-hallucination provenance tracking.

A Python-based MCP server that provides social media management and analytics tools. It integrates with Claude and other MCP clients via stdio transport.

DALL-E MCP Server enables AI assistants to generate images using OpenAI's DALL-E API. It supports creating images with DALL-E 2 or DALL-E 3, editing existing images (DALL-E 2 only), and creating variations of images (DALL-E 2 only). The server is configured with an OpenAI API key and offers flexible options for image generation including model selection, size, quality, style, and custom save locations. Particularly useful for workflows requiring image generation capabilities directly within AI assistant conversations.

A Python-based MCP server that provides LinkedIn outreach message generation and personalization tools. It integrates with Claude and other MCP clients via stdio transport.

DomShot MCP server enables AI assistants to capture screenshots of specific DOM elements through an interactive browser interface. The implementation combines a Go-based MCP server with a JavaScript client that injects an overlay system allowing users to hover over and click on webpage elements to generate PNG screenshots using html2canvas. It operates by serving a test HTML page and WebSocket connection on localhost:8000, where the browser-side script communicates screenshot requests back to the MCP server, making it useful for visual documentation, UI testing, or creating element-specific captures for design workflows.

BrowserCat MCP Server provides cloud-based browser automation capabilities through the Model Context Protocol, enabling LLMs to interact with web pages without local browser installation. Developed by BrowserCat, it offers tools for navigation, screenshot capture, element interaction (clicking, hovering, form filling), and JavaScript execution in a real browser environment. The server connects to BrowserCat's cloud browser service via WebSocket, authenticates with an API key, and exposes both console logs and screenshots as resources. This implementation is particularly valuable for AI assistants that need to perform web-based tasks like data extraction, form submission, or visual analysis of websites.

Provides comprehensive integration with SAP Commerce Cloud (Hybris) through both OCC API and HAC (Hybris Administration Console) endpoints. Enables product catalog management, order processing, and administrative operations including FlexibleSearch queries, Groovy script execution, ImpEx data import/export, cron job management, cache operations, and catalog synchronization. Handles HAC authentication with automated CSRF token management and session handling, making it valuable for developers and administrators managing Hybris instances.

MCP Wechat Moments Server enables AI assistants to publish content to WeChat Moments on macOS through AppleScript automation. Developed by Gemini Wen, it uses cliclick to emulate mouse events and can be configured for auto-publishing via environment variables. The server integrates with clients like Cherry Studio, providing a programmatic interface to WeChat's social sharing functionality without requiring direct API access. This implementation is particularly useful for social media management workflows where automated posting to WeChat's popular Moments feature is needed.

GPT Image 2 is an MCP server that provides access to OpenAI's gpt-image-2 model through six tools for generating and editing images from AI clients. It supports multi-turn iterative refinements via session-based editing, saves generated images to disk, and returns them inline to the calling model. Cost guardrails with estimated pricing per image and support for local path, URL, and base64 image inputs are included.

An MCP server that fetches and summarizes news from infomate.club/vas3k, a curated tech news aggregator, by parsing HTML content to extract articles from multiple feeds like Hacker News, Techmeme, GitHub, Reddit, and Pinboard. The server groups articles by feed source, generates keyword-based summaries for each feed, and returns structured markdown output with article titles, descriptions, and links. Built with Next.js and featuring a 3D ASCII text visualization component using Three.js shaders, it's useful for staying updated on tech industry trends, monitoring multiple news sources simultaneously, and getting AI-digestible summaries of current technology discussions across popular platforms.

The Clado MCP server provides LinkedIn data enrichment and search capabilities through the Clado AI platform, offering five specialized tools for professional networking intelligence. Built by Clado AI, it enables searching for LinkedIn users with filters, enriching profile data from URLs, retrieving contact information including emails and phone numbers with reverse lookup support, scraping detailed profile content with posts and comments, and analyzing post engagement metrics. The implementation uses a credit-based pricing model where different operations consume varying amounts of credits (1-10 credits depending on the tool), making it useful for sales prospecting, recruitment workflows, competitive intelligence, and building comprehensive professional contact databases.

Gives AI agents full desktop control on macOS through 18 tools covering screen capture, mouse and keyboard input, window and application management, UI element inspection via the Accessibility API, and clipboard operations. Uses a pre-compiled Swift binary for system interactions and AppleScript for keyboard input, with no native Node.js addons or build steps required. Supports macOS 13 and later on both Intel and Apple Silicon architectures.

Bridges Flutter mobile app development with Maestro UI testing by providing tools for inspecting UI hierarchies, simulating user interactions (tap, text input, scrolling), taking screenshots, and managing app state through hot reload/restart. Connects to running Flutter apps via VM Service to enable real-time testing and automation workflows, while also supporting native Maestro YAML flow creation and execution. Includes a complete example Flutter counter app with TestHooks for isolated testing.

A Message Context Protocol (MCP) server implementation that detects search intent in user queries and provides relevant search results from Brave Search API.

Built by AIwithhassan using FastMCP, this server provides intelligent web scraping and documentation search capabilities by integrating Serper API for web search with Groq's LLM API for content processing. Rather than using traditional HTML parsing, it leverages Groq's language models to intelligently clean and structure web content by processing it in chunks, making it particularly valuable for developers who need to quickly access and understand documentation from multiple sources. The server focuses on popular development libraries like LangChain, LlamaIndex, OpenAI, and UV package manager, extracting clean, readable content that can be easily consumed in conversations.

This MCP server provides Microsoft Dataverse integration with advanced MCP features including Elicitation, Sampling, and Resources for enterprise data operations. Built with ASP.NET Core and .NET 9.0, it offers FetchXML query execution with intelligent result handling that prompts users to save large datasets (>20 records) as MCP Resources, uses MCP Sampling to transform raw JSON into markdown tables, and includes bulk contact creation with progress notifications plus Chart.js report generation. The implementation demonstrates sophisticated MCP capabilities through interactive user prompts for decision making, LLM-powered data transformation, and dynamic resource creation, making it valuable for developers working with Dataverse environments who need AI-assisted data analysis, reporting, and bulk operations with real-time progress tracking.

TradingView AIBridge is an MCP server that bridges TradingView Desktop to Claude and other AI clients using the Chrome DevTools Protocol. It exposes over 25 tools for reading live chart data, controlling chart display, managing Pine Script indicators, creating drawings and alerts, and running backtests via the replay engine. The server includes Korean trader-specific features such as automatic Upbit and Bithumb symbol recognition and kimchi premium calculation, as well as Windows MSIX package support.

MCP server enabling Claude to interact with Apple Freeform's diagramming application on macOS Sequoia or later. Allows creating diagrams, flowcharts, and mind maps by drawing shapes, connectors, and text, as well as reading existing boards via screenshots and manipulating objects through movement, deletion, grouping, and alignment. Controls Freeform through simulated mouse and keyboard input since no official API exists.

eClincher's remote MCP server gives AI agents control of social media operations across Facebook, Instagram, X/Twitter, LinkedIn, TikTok, Pinterest, YouTube, and Google Business Profile. It provides 26 tools across publishing (schedule and post content), unified inbox management (DMs, comments, mentions), CRM and ticketing integration, and five analytics report types. No local installation required — the server runs remotely and connects via API key.

This MCP server implementation provides a bridge to the Hive blockchain, enabling AI assistants to interact with Hive data and operations. Built with TypeScript and leveraging the @hiveio/dhive library, it offers tools for querying blockchain data, posting content, and managing accounts. The server is designed for use cases requiring AI-driven content creation, social media automation, or analysis of Hive blockchain data.

MCP server for generating images using the Flux Schnell model via a Cloudflare worker API. Built by bytefer, this implementation provides a single 'generate_image' tool that allows users to create images by sending text prompts, with robust error handling and environment variable configuration. Useful for developers needing a streamlined text-to-image generation service with clean TypeScript implementation.

Provides AI agents with tools to monitor and analyze Reddit community sentiment, track keyword mentions, and identify competitor discussions across subreddits. Enables brand monitoring and market intelligence workflows through the SignalMelo platform.

This MCP server provides comprehensive Lighthouse performance analysis capabilities through automated web performance auditing and deep analysis tools. Built with TypeScript and featuring integration with Google's Lighthouse engine, Puppeteer, and Chrome launcher, it offers four core tools: URL analysis with configurable device types and audit categories, deep analysis with critical request chain examination and unused code detection, batch analysis for multiple URLs in parallel, and prompt generation for AI-assisted performance optimization workflows. The implementation includes specialized analyzers for Core Web Vitals, performance patterns, problem detection, and score breakdowns, with browser pool management for efficient parallel processing and comprehensive reporting that generates prioritized recommendations with impact assessments, making it ideal for web developers, performance engineers, and automated CI/CD pipelines that need programmatic access to detailed website performance insights and optimization guidance.

Exposes Abrasio's browser automation capabilities to AI agents with built-in anti-detection fingerprinting. Provides 15 tools covering navigation, screenshots, clicking, form input, and JavaScript execution. Supports local operation using a standard browser and cloud operation with residential IP infrastructure. Installable via pip.

Extracts text from PDFs in LLM-friendly formats by preserving table structure and detecting figure-heavy pages using spatial heuristics tuned on real-world documents. Renders page screenshots locally without requiring GPU, OCR, or external API keys. Built in TypeScript with a local-only deployment model.

Kimi WebBridge enables AI agents to control a browser through the Kimi WebBridge Chrome extension, exposing tools for navigation, element clicking, form filling, screenshot capture, and JavaScript execution. Requires the companion Chrome extension to be installed. Installable via npx, stdio transport. Written in TypeScript.

Provides visual feedback for frontend development by giving coding agents direct access to rendered output. Uses Puppeteer to capture screenshots, collect console logs, track network errors, and perform visual regression detection via pixel comparison. Supports browser interactions including click, type, scroll, hover, form selection, and viewport resizing with automatic screenshot capture after each action.

Telegram MCP Server enables Claude to access and interact with Telegram accounts, allowing for reading and sending messages through a simple interface. Developed by Alexander Tsai, it provides tools for retrieving chat lists, reading messages, marking messages as read, and sending replies while maintaining the user's conversational style. The implementation uses Telethon for Telegram API access and includes a conversation context analyzer that reads from a customizable style guide to help Claude generate responses that match the user's texting patterns. Perfect for users who want to monitor and respond to Telegram messages through Claude without switching applications.

Exposes the Feedbot product backlog via a streamable HTTP MCP endpoint, enabling Claude Code to retrieve and manage community feedback submitted through a Telegram bot. Teams can triage submissions through a web dashboard with role-based access and magic-link authentication. The self-hosted stack uses FastAPI, SQLAlchemy, and PostgreSQL with Docker Compose deployment.

Delivers notifications to Telegram through a bot, supporting text messages with formatting, photo sharing via URLs or file paths, and document delivery for reports and build artifacts. Resolves the user's Telegram username to a chat ID automatically on the first tool call, requiring only a bot token and username for configuration.

This browser tools MCP server by AgentDesk AI provides AI assistants with comprehensive browser debugging and analysis capabilities through a Chrome extension and headless browser automation. The implementation combines real-time browser event capture (console logs, network requests, screenshots, DOM element selection) with Lighthouse-powered accessibility, performance, SEO, and best practices audits optimized for AI consumption. Built with TypeScript and featuring cross-platform browser support, smart resource blocking, and structured audit reports with impact-based prioritization, it enables AI systems to debug web applications, analyze page performance, and provide actionable optimization recommendations through both live browser sessions and automated headless analysis.

CatchDoms provides access to a database of over 40,000 expired domains from 12 auction platforms, complete with SEO metrics and quality scores. AI agents can search and filter domains by authority, backlinks, and other signals to identify valuable acquisition opportunities.

Provides access to the UK Parliament Committees API as part of a monorepo of UK Parliament data servers. Enables querying committee information, inquiries, publications, and related parliamentary data. One of twelve UK Parliament API servers maintained by DarkhorseOne Limited.

Provides structured access to the UK Parliament Commons Votes API. Enables retrieval of Commons division records, member voting history, and search results with filtering by date, member, and division parameters. Supports querying division details and vote summaries. Part of a monorepo of UK Parliament data servers maintained by DarkhorseOne Limited.

Provides structured access to the UK Parliament Erskine May API. Enables querying chapters, parts, sections, and index terms from the authoritative parliamentary procedure reference. Supports search and lookup of procedural guidance used by both Houses of Parliament. Part of a monorepo of UK Parliament data servers maintained by DarkhorseOne Limited.

Provides structured access to the UK Parliament Register of Interests API. Enables querying interest categories, published registers, and individual interest records with filtering options. Supports retrieval of register PDFs and interest details for transparency and analysis workflows. Part of a monorepo of UK Parliament data servers maintained by DarkhorseOne Limited.

Provides structured access to the UK Parliament Lords Votes API. Enables retrieval of Lords division records, member voting history, and grouped vote summaries with filtering by date, member, and division parameters. Supports search and pagination across voting data. Part of a monorepo of UK Parliament data servers maintained by DarkhorseOne Limited.

Provides structured access to the UK Parliament Members API. Enables querying member profiles, constituencies, parties, posts, biographies, and voting records with extensive filtering options. Supports reference data lookups for departments, answering bodies, and government posts. Part of a monorepo of UK Parliament data servers maintained by DarkhorseOne Limited.

Provides structured access to the UK Parliament NOW Annunciator Content API. Enables retrieval of current and historical annunciator messages for Commons and Lords chambers, including live session updates and message feeds. Supports filtering by house and date parameters. Part of a monorepo of UK Parliament data servers maintained by DarkhorseOne Limited.

Provides structured access to the UK Parliament Oral Questions and Motions API. Enables querying early day motions, oral questions, and question time schedules with filters for date, member, and session parameters. Supports retrieval of motion details, signature counts, and answering body schedules. Part of a monorepo of UK Parliament data servers maintained by DarkhorseOne Limited.

A keyphrase extraction server that uses BERT-based sentence transformers and spaCy tokenization to identify and extract meaningful keyphrases from text documents. Built by Ivan Rublev, it leverages the KeyBERT library with multilingual MiniLM models for semantic understanding and supports customizable stop word filtering, configurable keyphrase counts, and GPU acceleration when available. The implementation includes comprehensive file access controls through directory allowlists, handles multiple text formats, and provides both CLI and HTTP server modes with Docker deployment support. Useful for content analysis, document summarization, SEO keyword research, or any application requiring automated extraction of key concepts from textual content.

Provides comprehensive access to the Etsy Open API v3 with 37 tools for managing listings, orders, shipping, and payments. Supports OAuth 2.0 with PKCE for secure authentication and includes Docker distribution for easy deployment.

Provides two server endpoints for the AureusERP platform: a Dev Agent server for coding assistants with documentation search, plugin introspection, route discovery, and model inspection tools, and an ERP Agent server with 34 read-only business insight tools spanning Sales, Purchases, Invoices, Accounting, Inventory, and Projects. Supports both stdio and HTTP transports with OAuth authentication for the ERP endpoint. Built as a Laravel/Filament plugin installable via Composer.

GroundRoute is a hosted MCP server providing unified web search by routing queries across six engines — Serper, Brave, Exa, Tavily, Firecrawl, and Perplexity — without requiring separate API integrations. It supports web, news, academic, answer, and page search modes with up to 50 results per query, routing to the cheapest engine meeting quality standards. Built-in caching shares savings with users, and automatic failover handles engine unavailability.

LLM Brand Monitor is an official Serpstat product that tracks brand mentions across 350+ AI models including ChatGPT, Claude, and Gemini. It provides 17 tools for managing monitoring projects, running scans, analyzing brand visibility and sentiment, reviewing transcripts, and checking competitor mentions. An API key from llmbrandmonitor.com is required.

This web search MCP server, developed by muka, provides a standardized interface for performing web searches using the Serper API. Built with TypeScript and Express, it exposes an endpoint for executing searches and returning results in a consistent format. The implementation uses environment variables for API key management and offers Docker containerization for easy deployment. By abstracting web search functionality into an MCP interface, it enables AI systems to efficiently retrieve and process web content. This server is particularly useful for applications requiring up-to-date information from the web, such as research assistants, fact-checking tools, or content aggregators.

OpenWeb Ninja exposes its suite of 40+ real-time web data and SERP (search engine results) APIs as MCP tools. AI agents can call these endpoints to retrieve live web and search data for research and automation workflows.

Connects to the GEO Agent platform at geo.yigather.com for AI-powered search engine optimization. Enables AI assistants to automatically write SEO-optimized landing pages and inject product knowledge into a cloud workspace. Uses remote SSE architecture with API key authentication, requiring no local installation.

Manages social media presence across Threads and Bluesky with tools for creating and scheduling posts, managing drafts, viewing analytics, and team collaboration. Supports multi-team workflows with per-team provider and subscription management.

Gemini Image Generation MCP server that enables AI assistants to create images using Google's Gemini 2.0 Flash experimental image generation model. The implementation provides a single generateImage tool that accepts text prompts and optional parameters for aspect ratio and output format, returning base64-encoded images directly through the MCP protocol. Built with the Google Generative AI SDK and designed for users who want to integrate Gemini's native image generation capabilities into their AI workflows without handling API authentication or response parsing manually.

Flux-Schnell-MCP provides a bridge between Claude and Replicate's flux-schnell image generation model. This TypeScript implementation creates an MCP server that exposes a single 'generate_image' tool, which accepts text prompts and communicates with the Replicate API to generate images. The server runs on stdio transport for compatibility with Claude Desktop, includes error handling for API failures, and requires a Replicate API token for authentication. It's particularly useful for generating images directly within conversations without switching contexts.

Doubao Image MCP Server provides AI image generation capabilities through ByteDance's Doubao API, built using the FastMCP framework and Volcengine Python SDK. The implementation exposes image generation tools that allow AI assistants to create images from text prompts, with support for various parameters like image dimensions and quality settings. Designed for content creators and developers who need programmatic access to Doubao's image generation models, it enables workflows like automated visual content creation, design prototyping, and creative asset generation directly through conversational AI interfaces without requiring manual API integration.

MCP server for Google Gemini 2.5 Flash Image preview that provides AI assistants with text-to-image generation, image editing, composition, and style transfer capabilities through four specialized tools. The implementation supports both base64 and file path inputs for images, includes optional file saving functionality, and offers flexible transport options (stdio/HTTP) with comprehensive error handling and response formatting. Built with TypeScript and the MCP SDK, it serves users who need programmatic access to Gemini's image generation capabilities for creative workflows, content creation, and automated image processing tasks that require combining multiple images or applying style transformations.

Provides access to Reddit's historical data through the PullPush.io API, enabling search across comments and submissions without requiring authentication. The server implements two core tools for searching Reddit content with flexible filtering options including subreddit, author, date ranges, score thresholds, and keyword queries. Built with TypeScript and featuring an auto-registration system for modular tool loading, it's particularly useful for researchers, content creators, or developers who need to analyze Reddit discussions, track user activity, or gather historical social media data that may no longer be available through Reddit's official API.

Bridges AI agents to authenticated browser sessions via a companion Chrome extension. Extracts auth tokens from active browser sessions to provide tools for LinkedIn (profiles, posts, feed, connections), Twitter/X (tweets, timeline, search), WhatsApp messaging, and arbitrary HTTP requests using existing login sessions. Supports runtime integration building for any logged-in service.

A LinkedIn profile data mining server built by amankale376 that combines Google Custom Search, Apollo.io contact enrichment, and Nubela Proxycurl APIs to systematically discover, extract, and enrich professional profiles. The implementation uses OpenAI for intelligent search query generation and profile filtering, features JSON-based storage with CSV export capabilities, and provides comprehensive tools for searching LinkedIn profiles by keywords, extracting detailed profile data including contact information, and performing end-to-end data mining workflows with rate limiting and duplicate detection. Useful for lead generation, recruitment research, market analysis, and building professional contact databases with enriched company and contact details.

This MCP server provides comprehensive LinkedIn data extraction and research capabilities through integration with the Linkd API service. Built with TypeScript and Express, it offers eight specialized tools for LinkedIn operations including user and company search, profile enrichment, contact information retrieval, detailed profile scraping, and advanced deep research workflows that combine multiple search variations with email enrichment. The implementation supports both stdio and SSE transport protocols, handles credit-based API operations (1-2 credits per request), and includes features like job status monitoring for long-running research tasks, making it valuable for sales prospecting, recruitment, market research, and competitive intelligence workflows that require systematic LinkedIn data gathering.

HumanChrome runs a local bridge between an MCP host and a Chrome extension via native messaging IPC, allowing AI agents to operate a real authenticated Chrome session. Supports form filling, navigation, clicking, and reading page content on any site including login-gated services. Exposes both Streamable HTTP (localhost:12306) and stdio transports. TypeScript/Node 20, MIT license.

URL2SNAP is an MCP server that captures screenshots of websites through the Abstract API. It provides a simple tool that takes a URL as input and returns a local URL to access the captured screenshot. The implementation handles API requests, image processing, and local file storage, making it useful for applications that need to visualize web content without requiring users to visit the actual websites. The server runs on port 8011 and saves screenshots to a local directory for easy access.

Connects to live Shopify stores through the Admin and Storefront GraphQL APIs, enabling direct store operations rather than just documentation lookups. Supports arbitrary GraphQL queries, file uploads with automatic polling, bulk import/export operations, and idempotent metaobject management. Includes automatic rate limiting based on store tier, SQLite-backed operation logging, and schema discovery for metafields and metaobject types.

Shopify Liquid MCP Server, built by Florinel Chis, provides AI assistants with instant access to comprehensive Shopify Liquid documentation through a local SQLite FTS5 database. The server exposes seven specialized tools for searching and retrieving documentation about Liquid's 30 tags, 101 filters, and 67 objects, with full-text search capabilities and snippet highlighting. Built using FastMCP, it delivers sub-millisecond response times for offline-first operation, making it ideal for developers building Shopify themes who need quick access to syntax references, examples, and API documentation during development workflows. The implementation ingests markdown files from a structured docs-source directory and supports customization with project-specific documentation.

Hertwill's official MCP server connects AI assistants to the Hertwill dropshipping platform through 12 tools for searching products, evaluating profit margins, managing import lists, and syncing inventory to Shopify and WooCommerce stores. Product discovery tools work without an API key.

Ontology-driven e-commerce server combining semantic knowledge representation with reinforcement learning for intelligent shopping assistance. Features 21 commerce tools spanning product search, cart management, order processing, and returns, powered by ReAct agent architecture with multi-turn dialogue support. Includes conversation memory using ChromaDB with semantic retrieval, PPO-based reinforcement learning training via Stable Baselines3, and real-time analytics tracking quality scores, user intent, and recommendations. Built with comprehensive training capabilities including a Gradio dashboard for model management and a real dialogue corpus of 200 scenarios for agent improvement.

This MCP server implementation provides a bridge to a TMF620 Product Catalog Management API, allowing AI agents to interact with remote product catalogs. It offers tools for listing, retrieving, and creating catalogs, product offerings, and product specifications. The server includes configurable authentication, error handling, and supports both real and mock API endpoints. It's designed for use cases requiring product catalog management integration, such as e-commerce platforms or telecom service providers.

This MCP server provides complete Brevo (formerly SendinBlue) API integration for email marketing, SMS campaigns, CRM operations, and customer communication workflows. Built by Antoine Picolet using TypeScript with the official Brevo SDK and MCP SDK, it offers 14 comprehensive tools covering contacts management with bulk import capabilities, transactional and campaign email sending, SMS operations, WhatsApp messaging, CRM functionality for companies/deals/tasks, e-commerce integration, webhook management, and enterprise account features. The implementation includes intelligent bulk contact import with text parsing, live resource access to account attributes and lists, extensive error handling, and supports all major Brevo API endpoints with proper authentication, making it valuable for marketing automation, customer relationship management, and building AI assistants that need full-featured email marketing and customer communication capabilities without manual platform management.

Bridges agent workflows with human approval by routing confirmation requests through a Telegram bot. The local stdio server forwards questions to a self-hosted Vercel backend, which sends them to a designated Telegram chat and stores responses in Redis. Supports secure user validation through allowed user ID enforcement, automatic cleanup of expired requests, and configurable polling intervals for reliable delivery.

OMICall MCP Server provides comprehensive access to the OMICall/OMICRM platform APIs. The server offers 80+ tools organized across nine domains: authentication, call center operations (PBX extensions, hotlines, IVR, ring groups, call scripts, audio files, call evaluation), ticketing system, multi-channel messaging (Zalo OA, Zalo Personal, Facebook Messenger, Facebook Posts, Telegram, LiveTalk widget), agent management, notifications, webhooks, auto-dialing, and AI features (text-to-speech with Vietnamese voices, speech-to-text). All tools integrate with service package gates to verify module availability for the authenticated account.

Connects to the Zutrix SEO platform to access rank tracking data, keyword research, competitor analysis, backlink monitoring, site audits, and AI search visibility metrics. Provides tools for retrieving project keywords with ranking positions, viewing historical ranking trends, discovering keyword suggestions, analyzing SERP results, and getting comprehensive domain overviews. Requires a Zutrix account and API key.

Renders interactive Chart.js charts and dashboards inline in AI conversations.

Serves ECharts documentation as a knowledge base for chart configuration and visualization guidance. Contains structured documentation files for reference during chart creation workflows. Built with Python.

Multi-tool MCP server implementation for the PuchAI Hackathon that combines Reddit content analysis with personal productivity features and data visualization capabilities. Built by datavorous, the implementation includes a Reddit scraper that searches recent posts across multiple subreddits using fuzzy keyword matching and calculates engagement intent scores based on upvotes, comments, velocity, and author karma to identify high-potential posts for market validation and sentiment analysis. Features comprehensive TODO list management, user preference storage for personalized AI interactions, and chart generation tools that create bar and line charts with custom styling, fonts, and data visualization options, making it valuable for entrepreneurs and researchers who want to monitor Reddit discussions for business opportunities while maintaining organized workflows and generating visual reports.

An MCP server for extracting content from Douyin (TikTok China) and Xiaohongshu (Little Red Book) platforms, enabling downloading of videos, images, and text content from these Chinese social media platforms. Built with Python and featuring AI-powered watermark removal using Alibaba's DashScope API, the implementation provides tools for content analysis, media extraction, and speech-to-text transcription. Useful for social media research, content curation, and cross-platform content analysis workflows involving Chinese social platforms.

PipePost is a content publishing pipeline that distributes articles to multiple platforms in a single workflow. It provides 28 tools covering SEO optimization, multi-platform publishing, social media broadcasting, content management, and analytics. Suitable for content creators and marketing teams who manage cross-platform publishing workflows.

Gopher MCP Server provides access to Twitter search capabilities through the Gopher AI API, enabling natural language queries to retrieve relevant Twitter posts with metadata and relevance scores. Built by gopher-lab using Go and the MCP SDK, it implements an asynchronous polling mechanism that initiates searches via the Gopher AI platform and retrieves results once processing completes, with configurable result limits and error handling. The server is valuable for social media analysis, trend monitoring, sentiment analysis, and research applications where access to Twitter content based on specific queries or topics is needed.

This MCP server provides comprehensive access to fal.ai's AI model ecosystem, enabling AI assistants to discover, execute, and manage generative AI workflows through a unified interface. Built using Python with FastMCP, httpx for async HTTP operations, and support for both direct and queued model execution, it offers tools for browsing available models with pagination and search, retrieving OpenAPI schemas for model parameters, generating content with any fal.ai model including image generation and other AI tasks, and managing long-running requests through queue operations with status checking and cancellation. The implementation includes file upload capabilities to fal.ai's CDN storage, full streaming support via HTTP transport for real-time communication, and handles both authenticated operations requiring API keys and public model discovery, making it valuable for AI assistants that need access to cutting-edge generative models, automated content creation workflows, and scenarios requiring integration with fal.ai's specialized AI model marketplace.

9router MCP server integrates the 9router API with AI development tools such as Claude and Codex. It exposes seven tools covering web search with formatted results, webpage-to-Markdown conversion, vector embedding generation, image creation from prompts, text-to-speech synthesis, audio transcription, and endpoint health checking. Runs via npx with zero dependencies and uses stdio transport.

OmgFlux MCP Server provides a bridge to the OhMyGPT Flux image generation API, enabling AI assistants to create images based on text prompts. Developed by Exa Labs, it implements a Model Context Protocol server that handles image generation requests with customizable parameters like aspect ratio, safety tolerance, and reference images. The server maintains a cache of recent generations and exposes them as resources, making it particularly useful for workflows requiring high-quality AI image generation directly within conversations without switching contexts.

Fetches complete Reddit threads including all nested replies and collapsed branches, then compresses them into compact tab-delimited notation. Recursively expands every collapsed reply placeholder and delivers full comment trees at any depth. Benchmarked across 452 comments, it achieves 94% token reduction versus raw JSON and 44% versus Markdown while preserving complete thread structure.

Glim gives AI agents live data from Twitter, Reddit, the open web, and GitHub through a single hosted MCP endpoint — no API keys or separate scraping stack required.

Reddirect provides comprehensive Reddit access through 25+ tools covering subreddit browsing, post and comment creation, voting, and account management. Reading uses Reddit's public installed_client OAuth grant with no credentials required. Writing uses a one-time browser login via Chrome DevTools Protocol to extract a session token, avoiding API key registration. Available as an npm package requiring Node.js 18+ and Chrome.

Provides social media search and analytics across major platforms including X, Reddit, Bluesky, and YouTube. Enables trend monitoring, content discovery, and cross-platform social intelligence through Rolli's unified API.

Reads X (Twitter) through a persistent, locally isolated browser session to access the home timeline and search recent discussions. Operates without official API credentials by reusing logged-in browser state, suited for personal local workflows.

GlowPost connects to the GlowPost AI content generation platform, producing social and publishing content across five channels from a single topic: Blog, X/Twitter, LinkedIn, Newsletter, and Instagram. Content is generated using the platform's credit-based system and requires a GlowPost API key. Supports Claude Code, Cursor, and other MCP-compatible clients.

A Java-based MCP server implementation by CData Software that provides a generic bridge to any JDBC-compatible data source, including LinkedIn Ads data through CData's JDBC drivers. The server exposes three core tools for database interaction: listing available tables and schemas, retrieving column metadata for specific tables, and executing SQL SELECT queries with results returned in CSV format. Built with a modular architecture using interfaces for tools and resources, it supports dynamic driver loading, automatic discovery of database capabilities like catalog/schema support, and configurable table filtering, making it valuable for data analysts and developers who need to query business data sources through natural language interactions with AI assistants.

Manage campaigns, creatives, audiences, and reports across 13 major advertising platforms including Google Ads, Meta, TikTok, LinkedIn, The Trade Desk, Amazon DSP, Pinterest, Snapchat, and Microsoft Ads. Each platform is implemented as an independently deployable Google Cloud Run MCP service using GCP-native architecture, with CRUD operations, GraphQL queries, bulk operations, and async report support. Requires separate API credentials per platform.

Enables AI agents to publish content to LinkedIn via stdio transport. Supports text posts, link sharing, image uploads, and video uploads. Built in Rust for low memory usage compared to Node.js-based alternatives, claiming 5–15 MB footprint. Uses LinkedIn's official API with OAuth authentication.

DSers is an AliExpress dropshipping automation platform for Shopify and Wix stores. This server enables AI agents to import, edit, price, and publish products directly to connected stores through the DSers platform API.

This Blue Perfumery MCP server provides access to a curated perfume catalog through five specialized tools: listing all perfumes, searching by name/brand, filtering by category (men, women, niche), retrieving specific perfume details by ID, and generating Shopier purchase links. Built by Recep Gocmen using the Model Context Protocol SDK, it serves as a product data API for the Blue Perfumery e-commerce platform, enabling AI assistants to help customers discover fragrances, compare options, and facilitate purchases through integrated shopping links. The implementation is particularly valuable for conversational commerce applications where users need personalized perfume recommendations and seamless purchase workflows.

Backstory provides local search across personal data exports from Google, Telegram, Spotify, and Instagram. All processing is fully offline, with no data leaving the local machine.

SEO scanning MCP exposing tools for submitting URL audits and retrieving structured findings. Checks 20+ on-page, technical, and content signals including Core Web Vitals, crawlability, and schema markup, with free basic results and paid complete remediation reports.

AgentGauge scans any website to evaluate its AI readiness across two dimensions: AI search visibility (whether AI can find the site) and AI agent usability (whether agents can interact with it). Results include letter grades against the AgentReady standard, with free access and no authentication required.

Agent Web Reader provides pay-per-call data tools for AI agents, enabling access to crypto signals, web reader functionality, and SEO audits. Payments are processed via the x402 protocol using USDC on the Base blockchain, allowing agents to access live data with micropayments.

AI Visibility Index provides tools to track and analyze how AI language models perceive and reference brands and topics through the Model Context Protocol. The server enables AI agents to query visibility metrics, monitor brand mentions across AI systems, and analyze SEO impact for AI-generated content.

Provides local SEO audit capabilities for analyzing business visibility across search engines and maps. Offers tools for local listing analysis, citation checking, and optimization recommendations through a hosted remote endpoint requiring authentication.

Generates SEO keyword suggestions using Google Suggest autocomplete, with intent classification and long-tail keyword discovery. Returns keywords with estimated search intent scores for content planning and SEO strategy. Access is gated via x402 micropayment protocol.

Performs a comprehensive SEO audit on any web page, analyzing meta tags, heading structure, internal and external links, image alt attributes, Schema.org structured data, and overall page quality. Returns a normalized score from 0 to 100 along with specific recommendations. Uses x402 USDC micropayments on Base.

CalmSEO is a hosted SEO MCP server that gives AI agents access to Google Search Console data, live SERP results, keyword volume and competition metrics, keyword seed expansion, domain ranking analysis, and on-page SEO audits. The service offers a free tier with 20 starting credits, and paid plans from $19/month for higher usage.

CrawlConsole gives AI agents direct access to backlink intelligence through an MCP interface. Agents can inspect source pages and anchor text, analyze referring domains, score domain authority using Harmonic Centrality metrics, and identify link gaps between any site and its competitors. The service indexes billions of backlinks across hundreds of millions of domains and subdomains.

Provides four AI-powered SEO and marketing tools: keyword research with search volume and difficulty estimates, SERP analysis with ranking patterns and opportunity assessment, backlink profile analysis with link quality indicators, and on-page content optimization with readability and structure scoring. Uses OpenAI GPT-4o for analysis and Cheerio for web scraping, with API key-based tiered rate limiting.

Creator SEO provides AI agents with YouTube-focused SEO automation tools including keyword research, video tag generation, title optimization, and channel analytics. Designed for content creators to improve discoverability using AI-assisted search optimization workflows.

JackpotKeywords is a keyword research tool that generates search term opportunities from plain-English product descriptions without requiring seed keywords. It analyzes Google Ads data to surface keywords organized across 12 intent categories with search volume, CPC, competition metrics, and a proprietary Jackpot Score. An AI-visibility scan feature shows how products appear in AI-generated search results.

Local SEO Data gives AI assistants access to 42 local SEO tools across nine categories, including SERP position tracking, review monitoring, keyword research, AI visibility scoring, and geogrid scans. Connects directly to the Local SEO Data platform via API key authentication.

The SEO Keywords pack gives AI agents access to keyword research data including search volumes, competition metrics, keyword difficulty scores, and historical trend data. Agents can discover related keyword clusters, seasonal search patterns, and SERP features for any topic, supporting content strategy and organic search optimization. Delivered via the Pipeworx gateway with no authentication required.

SEO Design Lab provides a suite of SEO tools accessible via the x402 micropayment protocol, requiring no API key subscription. Tools include content briefs, keyword research, SERP analysis, backlink data, and site audits, priced from $0.50 to $3 per request, allowing pay-per-use access without a subscription commitment.

Access SE Ranking's full SEO data platform through a centrally-hosted MCP endpoint. Perform keyword research, backlink analysis, domain analysis, SERP monitoring, site audits, and rank tracking — with over 160 tools available through standardized AI agent interfaces.

Visibly AI provides remote SEO and GEO capabilities including Google Search Console integration, keyword research, backlink analysis, competitor intelligence, and on-page audits. Built for AI agents that need comprehensive search engine optimization data.

Connects AI agents to XMLRiver's XML API for SEO research. Supports eight operations including Google and Yandex search result parsing, Wordstat keyword frequency and seasonality data, URL indexation verification, and account balance monitoring.

The Serper MCP Server provides AI assistants with web search capabilities through integration with the Serper API. Built by Diego Fornalha, it supports various search types including web, news, images, shopping, and YouTube searches, with both TypeScript and Python implementations available. The server can be deployed via Docker or run locally, offering both stdio and Server-Sent Events (SSE) communication protocols. This implementation is particularly useful for workflows requiring real-time web information retrieval, content research, and data gathering directly within AI assistant conversations.

Easy My Trip MCP Server provides AI assistants with comprehensive travel planning capabilities through six specialized servers that integrate with SerpAPI and other services. Built with FastMCP, it offers flight search and comparison, hotel booking with filtering by price/rating/amenities, event discovery and categorization, weather forecasting, currency conversion and stock market data, and geocoding with distance calculations. The implementation stores search results locally for detailed analysis and comparison, includes sophisticated filtering tools for each service type, and provides structured prompts for travel planning workflows, making it valuable for travel agents, trip planners, and users who need integrated access to flights, accommodations, local events, weather conditions, and location data in a single interface.

Pixserp provides live AI-native web search with citations through a single tool that works across MCP clients. It returns current web results with source citations and uses flat per-request pricing.

SEOLinkMap MCP server provides conversational AI access to statistical SEO analysis and competitor research data through natural language queries. The implementation transforms traditional SEO analytics into an AI-accessible interface, offering SERP-specific correlation analysis, PageRank calculations, competitor backlink profiles, and technical performance metrics with academic-level statistical rigor including p-values and confidence intervals. Built for SEO professionals and agencies who want to query complex ranking factor relationships, analyze algorithm updates, and generate data-driven optimization recommendations without navigating traditional web interfaces or learning statistical software.

The SERP Data pack gives AI agents real-time access to search engine results pages. Agents can retrieve organic rankings, featured snippets, knowledge panels, People Also Ask boxes, image and video results, and local pack data for any keyword query. Supports multi-location and multi-language SERP retrieval for competitive analysis and content optimization. Delivered via the Pipeworx gateway with no authentication required.

Scores and optimizes web content based on SERP analysis across 7 SEO categories. Provides actionable recommendations to improve content relevance and search ranking potential.

Provides a search tool that queries specific social media platforms (Facebook, Reddit, LinkedIn) using configurable search backends. Supports SearXNG (free, default), Serper.dev, and Google Custom Search API. Filters results exclusively to specified platform domains and returns them for LLM context.

Rust-based MCP server that integrates with ModelScope APIs to provide comprehensive image editing capabilities including cropping, rotation, OCR text extraction, object detection, and image generation. Features caching optimization and a web interface for accessing image editing functions.

Provides a collection of AI-native tools through hosted SSE and streamable HTTP endpoints. Offers capabilities including web scraping, image generation, web search, and various utility functions. Free tier available with no local setup required.

NicheIQS provides AI agents with market niche scoring intelligence, aggregating signals from Reddit, Google Trends, and competitive landscape data to evaluate the viability and attractiveness of business niches. Implemented in JavaScript with TypeScript configuration.

Reddit Tools is a community MCP server that enables AI agents to access Reddit content and community data. The server provides tools for searching posts, reading comments, monitoring subreddits, and interacting with Reddit's API within automated agent workflows.

Reddit Ads exposes the Reddit Advertising API through the MCP protocol, enabling AI agents to create and manage campaigns, ad groups, and individual ads. It provides access to performance reporting and audience targeting features using Reddit OAuth credentials.

MCP Server - Twitter NoAuth provides Twitter API access without requiring local credential setup, enabling headless operation in remote environments. Built by buryhuang, it implements a decoupled architecture where clients complete OAuth flows independently and pass credentials as context to the server. The implementation supports core Twitter operations including searching tweets, retrieving user tweets, posting new content, and replying to existing tweets. It handles automatic token refreshing and is designed for containerization with Docker, making it particularly valuable for AI assistants that need to interact with Twitter while maintaining separation between credential storage and server implementation.

The MCP Twitter Connect server provides a bridge to the Twitter API, allowing AI assistants to retrieve recent tweets from specified users. Built with Node.js and Express, it offers two endpoints: a standard REST endpoint (/tweets/:username) and an MCP-compliant endpoint (/mcp) that handles structured requests with proper versioning and error handling. The implementation uses Twitter's v2 API with bearer token authentication to search for recent tweets from a given username. This server is particularly useful for workflows requiring access to real-time Twitter content within AI assistant conversations without requiring direct Twitter API access.

Enables posting tweets to Twitter/X with both text and images, plus generating images using Google's Gemini API. Uses OAuth 2.0 for tweet posting and OAuth 1.0a for media uploads with automatic token refresh and secure credential storage. Includes tools for Twitter operations and AI image generation that work together to create and post AI-generated images directly to Twitter.

This MCP server provides integration with Bright Data's web scraping and data extraction platform, forked by dsouza-anush and adapted for Heroku deployment. It combines web unlocking capabilities that bypass bot detection and CAPTCHAs with browser automation tools powered by Playwright, plus access to 40+ pre-built datasets for major platforms like Amazon, LinkedIn, Instagram, TikTok, and Google Maps. The implementation includes both direct web scraping tools (markdown/HTML extraction, search engine results) and structured data retrieval from cached datasets, along with an AI-powered extraction tool that converts scraped content to JSON using sampling. Designed for automated data collection workflows, market research, and applications requiring reliable access to web data at scale.

This MCP server provides integration with Exa AI's search engine for real-time web searching, company research, LinkedIn profile discovery, and deep AI-powered research workflows. Built by dsouza-anush as a Heroku-deployable fork of the original Exa Labs implementation, it offers six specialized tools including web search with live crawling, company information retrieval from business sources, URL content extraction, LinkedIn-specific searches, and an intelligent deep research agent that performs multi-step analysis and synthesis. The implementation features configurable tool selection, comprehensive error handling, request logging, and supports both HTTP and stdio transports, making it valuable for research tasks, business intelligence, competitive analysis, and any use case requiring current web information beyond an AI model's training data.

Connects to a local PinchTab server for headless browser control, providing 16 tools for navigating pages, clicking elements, filling forms, taking screenshots, and more. Uses PinchTab's accessibility-tree snapshots for token-efficient page understanding, with all interactions using stable element references instead of CSS selectors. Automatically starts and manages the local PinchTab server process, requiring only PinchTab to be installed globally.

Provides browser automation capabilities through Puppeteer, enabling web page interaction, content extraction, screenshot capture, PDF generation, and JavaScript evaluation for web scraping, automated testing, and form filling workflows.

Illustrator MCP Server enables AI assistants to execute JavaScript/ExtendScript code directly in Adobe Illustrator and view the results. Developed by Anshul Dalua, this MacOS-only implementation uses AppleScript to bridge between the MCP protocol and Illustrator's scripting capabilities, allowing bots to programmatically generate and manipulate vector graphics. The server provides two main tools: one for running arbitrary code in the current Illustrator document and another for capturing screenshots of the Illustrator window to visualize results, making it particularly useful for automated design tasks and graphic generation workflows.

A browser automation MCP server built with Playwright that provides web interaction capabilities through standardized tools for navigation, content extraction, form filling, screenshot capture, and JavaScript execution. The implementation uses a multi-stage Docker setup with proper resource management and security configurations, supporting both headless and headed browser modes with configurable timeouts and viewport settings. Designed for AI assistants that need reliable web automation capabilities, it handles common browser tasks like navigating to URLs, extracting page content with optional CSS selectors, clicking elements, filling forms with automatic submission, and capturing screenshots of full pages or specific elements.

An interaction runtime that routes Codex agent approval requests, user input, and MCP elicitation through configurable channels including Slack, Discord, Telegram, and a local HTTP runtime. Keeps Codex in control of the workflow while enabling human-in-the-loop interactions through familiar messaging platforms.

Provides AI-powered marketing capabilities including content generation, competitor analysis, social media publishing, and strategy planning. Part of the Phos suite of business tools, accessible through a hosted streamable HTTP endpoint.

Provides access to a database of over 12 million verified business records sourced from government registers across 10 countries including Australia, US, UK, Canada, and more. Supports business search with rich filters, competitor analysis ranked by quality score, market density analysis with rating distributions, and business verification against government registers with confidence scoring. Data is enriched with Google Maps ratings and AI-generated descriptions across 19 specialized directories.

Brandyze exposes its brand monitoring and social listening platform to AI agents through an MCP server. Agents can retrieve brand mention tracking, sentiment analysis across social channels, engagement metrics, competitor comparison data, and alert configurations. The server connects to api.brandyze.fr over SSE transport and supports standard API key authentication.

Provides four AI-powered business intelligence tools: competitive landscape analysis with market positioning and SWOT insights, website presence scoring across SEO/performance/content/social metrics, online review aggregation with sentiment analysis and theme extraction, and industry research with market sizing and customer segmentation. Uses OpenAI GPT-4o for analysis and Cheerio for web scraping, with API key-based tiered rate limiting.

Access public Instagram and TikTok data normalized into ActivityStreams format via KonbiniAPI. Query creator profiles, posts, comments, reels, stories, and follower information for influencer marketing, competitive analysis, and social listening. Requires a KonbiniAPI key.

Lotus by Clicon is a Generative Engine Optimization intelligence platform for LATAM B2B businesses. The server monitors AI crawlers (GPTBot, ClaudeBot, PerplexityBot), analyzes competitor GEO strategies, quantifies revenue risk using the proprietary Bleed Model, and generates executable defense artifacts including llms.txt and JSON-LD structured data. Compatible with Claude, Cursor, and other MCP-capable hosts.

Scout Intel provides web intelligence for AI agents covering SERP results, competitor analysis, market research, and keyword tracking. It aggregates data from multiple web sources to deliver actionable insights for competitive positioning and content strategy. The server supports both stdio and remote deployment.

The SEO Competitor Analysis pack lets AI agents research organic search competitors, compare domain authority and backlink portfolios, identify keyword gap opportunities, and track SERP position changes. It surfaces actionable competitive intelligence for SEO strategy and content planning across any target industry or keyword set. Delivered via the Pipeworx gateway with no authentication required.

Provides access to Serpstat's comprehensive SEO analytics platform through natural language. Supports keyword research across 230 countries, competitor analysis, backlink monitoring, rank tracking, site audits, and keyword clustering. Connects to Serpstat's extensive database of billions of keywords, domains, and backlinks to deliver actionable SEO insights directly within your workflow.

Provides access to TransformSEO's suite of SEO analysis tools. Offers keyword research, competitor analysis, backlink monitoring, and additional SEO capabilities through a remote endpoint. Requires authentication via API key.

Content Automations provides a suite of production Python MCP tools for content creation and analysis workflows. It includes URL content summarization, content repurposing for Twitter, LinkedIn, and newsletters, daily news digest generation, and competitor analysis with cost tracking and smart model routing.

Provides real-time Hyperliquid perpetual market data including order books, prices, funding rates, open interest, and candlestick charts. Uses x402 micropayments for per-request billing. Deployed on Railway with a hosted endpoint.

Provides access to Campfire's AI-first ERP platform for finance and accounting teams. Supports core accounting operations including chart of accounts, transactions, journal entries, and entity management, as well as financial reporting such as income statements, balance sheets, and cash flow statements.

Canvs provides a collaborative whiteboard platform for creating diagrams, mind maps, flowcharts, wireframes, and other visual content. The platform supports real-time collaboration, unlimited free boards, offline-first functionality, and export to PDF, PNG, JPEG, and SVG formats. It includes drawing tools, templates, presentation mode, and facilitation features like timers and voting.

Discover Lake Michigan charter captains and boats, check availability, get quotes, and book directly from AI. Charter Captain is a marketplace connecting anglers with fishing and sightseeing charters on Lake Michigan.

Hosted chart rendering service for AI agents that generates styled charts as persistent hosted URLs. Supports 16+ chart types and 20+ themes. Returns an inline image and embeddable URL for use in markdown, emails, Slack, and documentation. Anonymous mode available; API key unlocks higher quotas and removes watermarks.

CodePic enables AI agents to create, edit, and export professional diagrams including flowcharts, wireframes, and system architecture visualizations using a hand-drawn canvas interface. Diagrams can be shared and stored through the CodePic cloud platform at codepic.cc.

Provides natural language stock screening across 11,000+ US equities with support for 35+ technical indicators, 20+ fundamental metrics, and chart pattern detection including support/resistance levels, trendlines, and channels. Includes historical OHLCV data retrieval and symbol search.

The Org Transport Protocol MCP server enables AI assistants to query cross-organizational knowledge — including best practices, network learnings, publishing organizations, role-specific rules, and agent org charts — with no account required. Ten tools support semantic search and retrieval across organizational knowledge networks, connecting to the orgtp.com API backend.

Game Industry Library provides searchable access to a curated library of 300+ game industry research reports. It supports hybrid search across reports with extractable claims, charts, and citations, enabling AI agents to retrieve and reference game industry analysis. Connects to the gameindustrylibrary.com platform via a stdio bridge.

Web-based Gantt chart application with native MCP support for AI-driven project scheduling. Enables reading and writing tasks directly from Claude Desktop or Claude Code using natural language commands. Includes a MCP Calculation Engine for critical path analysis and impact propagation with server-computed precision. Supports drag-and-drop task management, dependency tracking, team sharing, and export to Excel or PDF.

Human Design provides chart calculation and interpretation for the Human Design system, a synthesis of astrology, I Ching, Kabbalah, and Chakra traditions. The MCP server exposes tools for generating personal charts and exploring how one's design influences decision-making and relationships.

Reads and interprets PostgreSQL EXPLAIN plans for AI agents, surfacing query bottlenecks, row-estimation errors, and suggested fixes. Presents the analysis with charts so agents can diagnose and improve query performance.

Obsidian Content Calendar reads Markdown files directly from an Obsidian vault to expose content scheduling data to AI assistants. It provides five tools for querying today's schedule, filtering by status, listing pending content, ranking upcoming items by publish date, and summarizing date ranges — all without requiring Obsidian plugins or external services.

CatchMetrics provides real user monitoring (RUM) for web performance optimization. The platform tracks Core Web Vitals (LCP, CLS, INP), navigation timings, JavaScript long tasks, and third-party script impact across devices and regions. AI-powered analysis helps identify performance degradation causes and correlates metrics with deployment history to enable faster issue resolution.

GTmetrix exposes its web performance analysis platform through an MCP server, enabling AI agents to run speed tests, retrieve PageSpeed and YSlow scores, access Core Web Vitals, and monitor website load times. Results include waterfall charts, performance recommendations, and historical comparisons. Requires a GTmetrix API key.

SpeedVault's official MCP server for web performance and SEO. Runs Lighthouse-based performance audits, provides code-level fix recommendations, crawls pages for SEO analysis, and reads real-user Core Web Vitals data. Requires a SpeedVault API key.

Petamind is an agentic coding loop MCP server that generates, tests, and visually evaluates code modifications. It provides multi-candidate patch generation with deterministic gates, integrating quality checks including accessibility testing via axe-core and performance benchmarks via Lighthouse. The system uses Playwright for screenshot capture and supports various LLM providers (Vertex AI, OpenRouter) for patch generation and vision-based assessment of UI changes.

Captures screenshots of any web page in PNG, JPEG, or WebP format and generates PDFs with configurable options. Supports full-page capture, custom viewport sizes, and output format selection. Uses x402 USDC micropayments on Base for pay-per-call access.

Browser Proof provides AI agents with verifiable web content evidence through deterministic JSON capture, text extraction, and screenshot generation. It enables agents to produce tamper-evident proof of web page states, supporting fact-checking and evidence collection workflows.

Shopify MCP Pro connects AI agents to Shopify stores for product management, order processing, customer data, inventory tracking, and analytics via ShopifyQL. It supports automatic token refresh and is built against the Shopify 2026-04 API version. Requires a custom Shopify app and API credentials to use.

E-commerce product management MCP server providing CRUD operations for product inventory through MySQL database integration. Features clean layered architecture with TypeScript models, repository pattern for data access, Zod schema validation for input sanitization, and service layer business logic. Exposes tools for creating, reading, updating, deleting, listing, and searching products with proper error handling and connection pooling. Includes comprehensive product attributes like SKU, name, description, price, and quantity with automatic timestamp management.

Integrates with the Kash.click French point-of-sale system, enabling creation of sales transactions with both catalog items and custom products, retrieval of product catalogs and customer data, and access to shop configuration including departments, payment methods, delivery options, and user accounts. Built with OAuth 2.0 authentication using PKCE, Redis-based session storage, and JWT token management, supporting both HTTP/WebSocket and stdio transport modes. Includes comprehensive internationalization support for French and English with Zod schema validation for robust input handling.

A Model Context Protocol server that provides comprehensive email management capabilities through the Resend API. Exposes tools for sending single and batch emails, managing domains and their verification, creating and managing API keys with specific permissions, and handling contact audiences for email marketing workflows. Built with TypeScript and the official MCP SDK, it requires a Resend API key for authentication and supports all major Resend features including domain management, contact segmentation, and batch email operations.

Provides a communication service connectors framework that currently integrates with Telegram's Bot API. Supports multiple bot accounts simultaneously with independent endpoint routing, tiered tool permission levels (basic through full), and per-account chat and user whitelisting for security. Built on FastMCP with ASGI middleware and Docker deployment, the architecture is designed for extensibility to additional messaging services like Slack, Discord, and email.

Dialogbrain provides a unified messaging inbox for AI agents, consolidating WhatsApp, Telegram, email, and voice channels into a single interface. Agents can read and send messages, search conversation history, and trigger automated responses across all connected channels. The service is hosted at dialogbrain.com with an MCP endpoint at api.dialogbrain.com.

MemberPass provides AI agents with full access to the MemberPass Telegram community monetization platform through 42 tools spanning project management, subscription plans, member administration, access codes, payment processing, webhooks, and analytics. Installable via npm, it uses a personal access token for authentication.

The DEX Metrics MCP server provides trading volume analytics for decentralized exchanges by integrating with Dune Analytics APIs. Built by kukapay, it exposes ten specialized tools that retrieve and format trading volume data across multiple dimensions including DEX platforms, blockchain networks, aggregators, frontends, and Telegram bots, with support for daily, weekly, monthly, and year-over-year analysis. The server automatically formats results as markdown tables using pandas DataFrames, making it particularly valuable for DeFi research, market analysis, and tracking trading activity trends across the decentralized finance ecosystem.

Enables sending Telegram notifications from AI workflows, including text messages, photos, and documents using bring-your-own-key bot token authentication. Runs on Cloudflare Workers with streamable HTTP transport and OAuth 2.1 authorization.

Chat-driven video editing powered by FFmpeg and FastMCP with 15 tools covering trimming, merging with transitions, auto-subtitles via Whisper, color grading presets, video stabilization, noise removal, TTS voiceover, silence removal, and social media aspect ratio conversion. Runs entirely locally with no cloud dependencies.

Provides integration with Hootsuite's social media management platform. Features comprehensive API coverage, multiple authentication methods, rate limiting, error handling with retry logic, and asynchronous support for optimized performance.

Retrieves public profile data from major social platforms including GitHub, Twitter/X, LinkedIn, and YouTube given a username or identifier. Returns structured profile metadata for people research and lead enrichment use cases. Uses x402 USDC micropayments on Base for pay-per-call access.

Lock In provides AI assistants with access to the LOCK IN iOS app for social media addiction management and dopamine detox. Tools expose screen time controls, 14-day complete detox mode enforcement, daily time budgets, and real-time blocking status, all processed on-device for privacy.

LinkedIn Posting Service MCP Server enables AI assistants to publish content directly to LinkedIn profiles. Built with TypeScript, it provides a tool for creating posts with customizable visibility settings, support for text content, media attachments, and link sharing with thumbnails. The implementation authenticates using LinkedIn's API via access tokens and user IDs, making it ideal for social media management, content marketing, and professional networking tasks where automated LinkedIn posting is required.

Easy Post provides MCP-compatible access to social media scheduling and publishing through the easy-post.app platform. It enables creating, scheduling, and managing posts across multiple social media accounts from a single interface. The hosted endpoint at easy-post.app requires authentication.

MCP server wrapping the Karaya Marketing Suite REST API for use with Claude Desktop and other MCP clients. Supports content generation, social media publishing and scheduling, ads management, and analytics across multiple platforms including Threads, Instagram, Twitter, TikTok, Facebook, and YouTube. Built on Node.js with Fastify using Supabase PostgreSQL for data storage and supporting multiple AI providers.

FeedSquad provides AI agents with social media content management capabilities including post creation, multi-platform scheduling, and performance analytics. The server enables automated content publishing workflows across major social networks through the FeedSquad API at feedsquad.com.

Alya provides a stdio MCP bridge to Alya's public HTTP MCP endpoint, exposing tools for web search, image generation, and financial market data access. AI coding tools such as Claude Desktop, Cursor, and Cline connect through this bridge to interact directly with the Alya autonomous agent platform. The server enables seamless integration without requiring direct HTTP configuration from the client.

Generates images from text prompts via Google Gemini's image generation API, returning results as base64-encoded data. Access is gated via x402 micropayment.

CF-MCP-Server is a collection of Cloudflare Workers that provide AI-related API integrations through the Model Context Protocol. The implementation includes three specialized workers: mcp-image-generation for creating images using Cloudflare's AI models, mcp-jina-api for extracting content from URLs and performing web searches, and mcp-tavily-api for comprehensive web search and content extraction capabilities. Each worker is built using TypeScript and deployed on Cloudflare's edge network, making them highly performant and globally available. The implementation leverages Cloudflare's infrastructure to provide secure, scalable API access for AI assistants needing image generation and web search functionality.

Generates and edits images using Google Gemini models. Supports text-to-image and image editing with configurable aspect ratios, resolutions up to 4K, and multiple visual styles. Runs locally via stdio or remotely on Cloudflare Workers with R2 image storage and automatic 7-day cleanup.

DeAPI provides a unified AI inference API with access to open-source models on distributed GPU infrastructure. Exposes 29 tools covering audio transcription, text-to-speech, image generation and transformation, video creation, OCR, background removal, upscaling, and text embeddings. Features smart adaptive polling for async jobs and OAuth 2.0 authentication.

The Image MCP Server provides AI assistants with image generation capabilities through a standardized interface. It connects to various image generation models via Gradio clients, allowing for the creation of images based on text prompts. The server implementation includes a Dockerfile for containerized deployment and supports both local and remote usage through the MCP protocol. This tool is valuable for creative workflows, content creation, and visual design tasks where AI-generated imagery enhances productivity.

FLUX is Black Forest Labs' flagship AI image generation model line. The MCP server enables AI agents to generate, edit, vary, and browse images through the FLUX API, providing programmatic access to state-of-the-art photorealistic image generation with 4MP output and advanced editing capabilities.

FastMCP server for the Animagine XL 4.0 image generation model, providing specialized tools for prompt engineering (validation, optimization, explanation), checkpoint and LoRA model management, and GPU-accelerated image generation with both text-to-image and image-to-image capabilities. Accessible via MCP protocol for AI agents or REST API for web/CLI tools.

Comprehensive ComfyUI orchestration layer providing 31 tools for workflow execution, text-to-image generation, Mermaid visualization, autonomous debugging, model management, and custom node installation. Includes slash commands, knowledge skills, autonomous agents, and local generation tracking via SQLite.

Provides AI image generation and editing capabilities using Gemini and OpenAI models. Supports text-to-image generation, image editing with text instructions, iterative editing with undo/redo and session management, and configurable output directories. Includes a Claude Code skill for guided image generation workflows with style templates and platform-aware sizing.

Grounds AI agent product recommendations in real user opinions from Reddit, Hacker News, Lemmy, Stack Exchange, ProductHunt, YouTube, and Trustpilot. Provides synthesized verdicts with confidence levels, pros and cons, and cited sources. Free remote MCP with no API key required; 25 calls per day anonymously, 100 per day with the public integration key.

DropWatchHQ Legit Check aggregates reputation signals, seller red flags, and Reddit community sentiment to assess the trustworthiness of an online vendor, store, or group-buy organizer. The server returns a legitimacy assessment with supporting evidence drawn from public web sources, helping buyers evaluate counterparty risk before transacting.

MCP server for AI-powered Reddit search and discovery. Provides tools for natural language semantic search across millions of Reddit posts, browsing and exploring subreddit communities with pagination, retrieving detailed subreddit information, and discovering trending articles and insights. Integrates with the Reddit Insights API and supports an optional API key for premium features.

Framefetch processes any social video URL and returns structured metadata, transcripts, AI-generated insights, and sampled frames. It supports YouTube, TikTok, Instagram, Reddit, and Pinterest, giving AI agents rich video content analysis without manual processing.

PitchGhost enables automated social media prospecting and lead discovery across major platforms including Twitter, LinkedIn, Reddit, and Facebook. The server provides tools for creating and managing automated scanners ("Ghosts") that monitor social conversations, discovering qualified leads with AI-powered analysis, and executing social media actions such as replies, DMs, and reactions. It also exposes reference guides for platform-specific search syntax and ghost configuration.

Social Superpowers is a managed MCP server that provides AI agents with real-time access to X/Twitter and Reddit without requiring expensive official API subscriptions. Twelve tools cover searching tweets and posts, reading conversation threads, browsing subreddit content, fetching user timelines, and tracking trending topics. The hosted gateway eliminates direct scraping risks and is free to use during its public beta phase.

Pluggo's MCP integration connects AI assistants like Claude Desktop, Cursor, and Claude Code to real-time social media data across LinkedIn, Twitter/X, Reddit, Hacker News, and Bluesky platforms. The implementation provides multiple MCP servers for each platform, with LinkedIn offering exclusive email extraction capabilities on the Growth plan, enabling AI workflows to access profile data, conversation monitoring, community insights, and social intelligence without context switching. Designed for sales teams, marketers, and developers who need to incorporate social listening, prospect research, and trend analysis directly into their AI assistant workflows.

Twitter Scraper fetches Twitter/X profiles, tweets, and keyword search results without requiring a developer API key. Returns structured JSON with user data, tweet content, and metadata. Paid per call at $0.005 in USDC on the Base blockchain via the x402 micropayment protocol.

CarryFeed gives AI agents access to public X/Twitter content without requiring authentication, fetching profile details, recent posts, threads, articles, and downloadable media. Results include original source URLs and support export in multiple formats. Covers only publicly accessible content.

XTapDown is a community MCP server that enables AI assistants to interact with X (Twitter) creator tools and analytics. It exposes functionality for managing posts, tracking engagement metrics, and automating content workflows for X platform creators. The server integrates with the XTapDown platform's creator-focused features.

X Archive RAG imports your X/Twitter archive into a local SQLite database and exposes it as MCP tools for keyword and semantic search, persona profile generation, and grounded draft composition. The search_archive, draft_from_archive, and get_persona_profile tools let AI assistants retrieve evidence from your tweet history without uploading data to any cloud service. The package runs via the mcpb package.

Ordinal's MCP server enables AI assistants to interact with Ordinal workspaces for social media management. It supports creating and scheduling posts, managing profiles, retrieving analytics, organizing content with labels, handling approval workflows, and configuring auto-engagements across LinkedIn, Twitter, Instagram, Facebook, TikTok, YouTube, Threads, and more.

AgentOS provides production-grade MCP server implementations built in Rust as standalone binaries for the AgentOS platform. It includes a Gmail server with 25+ tools for email management and a LinkedIn server for post creation and management, both featuring OAuth authentication, system keychain storage for credentials, and built-in rate limiting. The Rust implementation ensures performance and safety for production deployments.

ConnectSafely.ai is a commercial LinkedIn inbound lead generation platform that provides strategic engagement automation through AI-powered personalized commenting, post boosting, creator targeting, and keyword-based targeting capabilities. The platform offers MCP server access as part of their Pro and Agency plans, enabling integration with Claude Desktop and other MCP-compatible tools for programmatic LinkedIn engagement workflows. Built with platform compliance in mind, it supports B2B sales and marketing teams with analytics-driven lead generation, automated content amplification, and API access for custom automation workflows alongside native integrations with HubSpot, n8n, Zapier, and Make.

ShadowCrawl provides stealth web scraping with progressive anti-bot bypass mechanisms for Cloudflare, DataDome, and LinkedIn. It integrates a Cyborg HITL (human-in-the-loop) approach for navigating complex CAPTCHAs and verification flows. The server exposes search and structured data extraction capabilities through a hosted endpoint, compatible with Claude and other MCP clients.

This LinkedIn Profile Scraper leverages FastMCP and the RapidAPI LinkedIn Profile Scraper API to asynchronously retrieve LinkedIn profile data. Built by DrFranko0, it provides a simple tool for fetching comprehensive profile information including skills and other optional data points like certifications, publications, and honors. The implementation uses httpx for making API requests and structures the data retrieval process through a clean interface that can be integrated with Claude Desktop for AI-powered processing. Ideal for applications requiring LinkedIn data analysis without manual scraping, such as recruitment tools, networking applications, or professional data aggregation services.

Scans local Git repositories to identify interesting engineering work, classifies commits by content potential, and generates LinkedIn post drafts in multiple formats. Features a three-gate confidentiality sanitisation pipeline and supports both local Ollama and cloud Anthropic LLM providers.

Fintalio automates LinkedIn prospecting and outreach through 19 tools that enable agents to manage contacts, launch sequences, track responses, and update prospect records. All sequence launches require explicit confirmation before execution, preventing agents from repeatedly contacting the same person. Authentication uses a Bearer token from the Fintalio dashboard.

Glitch Grow LinkedIn Ads is a Python MCP server for the LinkedIn Marketing API, enabling AI clients to manage advertising campaigns, retrieve analytics, and handle creative assets.

Prism delivers people and company enrichment data to AI agents through a blockchain pay-per-call model. It returns verified work emails with deliverability scores, phone numbers, LinkedIn profiles, and full company details from a single domain or name input. No API key or subscription required — payments use USDC on Base or Solana, starting at $0.01 per call.

HeroHunt provides programmatic talent discovery across LinkedIn, GitHub, and StackOverflow through a People Search API. AI agents can search for professionals by skills, location, and role, with optional contact information enrichment for qualified results. Both a hosted HTTP endpoint and a local npm package are available for integration.

Connect Claude to all your business tools through a single CorpusIQ MCP server. Access data from QuickBooks, Shopify, Gmail, GA4, and 25+ other platforms with cited answers, 133+ pre-built skills, and up to 65% token savings.

Curie Commerce enables AI agents to search, compare in 3D, and purchase products from over 5.6 million Shopify stores. The server provides tools for product discovery with interactive 3D visualization through a free global endpoint. Per-store authenticated endpoints allow checkout and deeper catalog access.

DataVessel provides over 100 read/write MCP tools spanning Google Analytics 4, Search Console, Google and Meta Ads, Shopify, WooCommerce, and Shopware. Supports bring-your-own-key (BYOK) and is available as a hosted streamable-HTTP endpoint at mcp.datavessel.io.

A TypeScript MCP server for the Estroni Australian activewear brand that enables AI agents to read product catalog data. Provides four tools for searching products, retrieving detailed product and variant information, listing collections, and surfacing store policies. Deployed on Cloudflare Workers without requiring authentication.

Integrates with the FlowCheck financial analytics API to unify Stripe, Shopify, and bank data. Provides tools for balance queries, cash flow analysis, payout reconciliation, discrepancy detection, and financial health scoring. Supports Stripe connection via restricted keys and bank account linking through Plaid, with webhook management for event notifications.

WordPress plugin that syncs creative assets from Adobe Lightroom, Figma, Dropbox, Canva, and Shutterstock into WordPress and Shopify stores. Provides MCP endpoint for natural language asset management and synchronization.

Provides a unified interface for accessing and analyzing marketing performance data across multiple platforms including Meta Ads, Google Ads, Google Analytics 4, and Shopify. Enables retrieval of ad account data, campaign metrics, analytics insights, and e-commerce performance data with OAuth 2.0 authentication and encrypted credential storage. Offers both hosted remote access and open-source implementations for individual platforms.

Connects AI agents to Shopify's Admin API through Gossiper's MCP integration platform. Enables managing products, orders, customers, and inventory through natural conversation. Features built-in guardrails for safe administration, reduced token usage through efficient backend operations, and supports multiple AI assistants including Claude, ChatGPT, and Mistral.

Access live flash-sale inventory from verified Shopify and WooCommerce merchants worldwide. Browse active deals, filter by category, and retrieve specific deal details — all from a public, keyless endpoint. Read-only access with real-time merchant-vetted listings.

Inxy is an autonomous SEO and AEO (Answer Engine Optimization) platform for Shopify stores that enables AI agents to audit websites for AI-search readiness. It provides three core tools: an AI-search diagnostic assessing structured data and content signals, a full SEO audit covering on-page and technical SEO with Shopify-specific schema validation, and a connected store audit using real catalog and analytics data. Anonymous users receive 5 daily audits; API keys unlock 10 with detailed breakdowns.

Search how-to documentation for Merchinary's Shopify Bulk Product Editor and Image Editor apps. Enables AI assistants to retrieve relevant documentation and guides for Merchinary's Shopify app suite.

E-Commerce Intelligence provides Shopify store analysis and product data extraction via Apify's web scraping platform. The server enables retrieval of product catalogs, pricing structures, and store performance metrics for competitive analysis and e-commerce research. It leverages Apify's robust infrastructure for reliable extraction of e-commerce data at scale.

Profitpather connects AI agents directly to Shopify store analytics without sampling or aggregation. 26 MCP tools expose session data, attribution modeling, funnel analysis, and revenue leak detection from first-party store data. Built on Cloudflare Workers with a hosted streamable-HTTP endpoint. Requires a Profitpather subscription and API key.

Provides a unified analytics layer for direct-to-consumer e-commerce brands by integrating Klaviyo and Shopify APIs. Includes 22 pre-built tools covering campaign performance, flow analysis, subscriber health, sales summaries, product performance, inventory alerts, customer cohorts, traffic sources, and cross-platform revenue attribution. Pre-aggregates data server-side and returns only actionable fields, reducing context usage compared to raw API responses.

Scalably Shopify provides read-only access to the Shopify Admin GraphQL API through 6 MCP tools covering the full read surface with multi-store support. Built by Scalably for Shopify merchants and developers.

This MCP server provides reconciliation and analysis tools for Shopify subscription data. It runs as a hosted service on Cloudflare Workers and requires bearer token authentication to access subscription management and reporting functionality.

Shopify's official MCP server that enables AI agents to provide native shopping experiences by integrating product search, cart management, and checkout functionality across hundreds of millions of products from Shopify's merchant ecosystem. The implementation provides three core tools: search_catalog for querying products with rich web components for inline previews, update_cart for managing a Universal Cart that aggregates items from multiple merchants, and seamless checkout integration through Checkout Kit that preserves merchant customizations while applying agent branding. Built with compliance requirements like GDPR, CCPA, and PCI DSS v4 in mind, it handles complex commerce scenarios including product variants, subscriptions, bundles, and cross-merchant transactions, making it valuable for AI applications that want to add shopping capabilities without building marketplace infrastructure or handling payment processing directly.

The Customer Accounts MCP server provides tools for customer-specific actions in Shopify stores, including order management and account details retrieval. Built by Shopify as an early access feature, it requires OAuth 2.0 authentication with PKCE and integrates with stores that have custom domains configured and meet protected customer data requirements. The implementation enables AI assistants to handle authenticated customer requests like checking order status, retrieving order details, and managing account preferences, making it valuable for customer service automation and personalized shopping experiences.

Shopify's official Storefront MCP server enables AI assistants to connect directly to individual Shopify stores for complete shopping experiences. Each store exposes its own MCP endpoint at the store's domain, providing tools for product catalog search, cart management, and policy inquiries without requiring authentication. The implementation allows AI agents to help customers browse products, manage shopping carts, and access store-specific information like return policies and FAQs, making it ideal for building AI-powered shopping assistants that can handle the full customer journey from product discovery to checkout.

Boolsai Directory provides an indexed database of ecommerce sites enriched with technology stack data, enabling agents to look up vendors used by specific brands, find companies by geographic market or founder, and explore the ecommerce landscape at scale. Ten tools are available with no authentication required.

Implements reinforcement learning algorithms for e-commerce use cases including dynamic pricing optimization and product recommendation strategies. Exposes RL agent actions and environment state as MCP tools for AI-driven retail decision-making.

Scrapes and analyzes Shopify store data including product listings, pricing, and merchant details for direct-to-consumer competitive intelligence. Backed by an Apify actor on the NexGenData Cloudflare Workers proxy. Requires an Apify API token with a free tier available.

Trends MCP Ecommerce tracks product and category demand trend volume and growth signals over time. Identify which products and categories are gaining or losing consumer interest to inform inventory and marketing decisions. Requires a free API key from trendsmcp.ai.

E-commerce integration tools for querying product catalogs, processing orders, and managing inventory via a hosted MCP endpoint. Provides structured access to e-commerce platform data for AI-driven workflows.

This AgenticShelf-hosted MCP server provides AI agents with live catalog access to Graffeo Coffee Roasting, a North Beach San Francisco specialty coffee roaster in business since 1935. The server delivers current product availability, pricing, and ordering information through the AgenticShelf e-commerce AI visibility platform. It enables AI agents to browse and query Graffeo's coffee offerings programmatically.

dm-drogerie-markt's official MCP server provides access to their online product catalogue, allowing AI assistants to search and browse products from Germany's largest drugstore chain. The server operates via SSE transport at mcp.dm.de and is versioned at 3.1.0 with support for tools, resources, and prompts. No authentication is required to search the public product catalogue.

KaliCart Global is an MCP server providing AI agents with federated commerce discovery across participating WooCommerce merchants. Agents can search product catalogs, filter by category or merchant, and retrieve structured product data compliant with the ARC/1.0 specification. Merchants join by installing the free KaliCart Bridge plugin; checkout and customer relationships remain on merchants' own stores.

A Python template MCP server built with FastMCP and FastAPI that provides AI agents with e-commerce capabilities. Exposes a product catalog resource for browsing, a search tool with keyword, category, and price filters, and a checkout tool that initiates orders and returns checkout URLs. Designed for quick deployment to Vercel's free tier with optional API-key authentication.

Provides tools for searching the BuyWhere product catalog, retrieving product details and pricing, comparing prices across merchants, generating affiliate links, and browsing product categories across Singapore, Malaysia, and Indonesia retailers.

Provides access to the SeekOnMe product discovery API for searching product catalogs and retrieving detailed product information. The remote endpoint requires Bearer API key authentication obtained from SeekOnMe. Query product listings and retrieve structured product details programmatically.

Connects to the Siltums Commerce API for EU trade analytics and product management. Provides access to 28M+ Eurostat COMEXT trade records, product catalog with real-time pricing, warehouse availability, heating fuel calculations, and order management with x402 micropayment support.

Connects to the Kaspi.kz Marketplace API to retrieve orders, product listings, and detailed order information. Sellers can query their marketplace data using API key authentication obtained from the Kaspi seller dashboard. Supports filtering and pagination for efficient data retrieval across large catalogs.

This integration connects AI assistants to the Sherweb cloud marketplace and partner portal. Manage customer subscriptions, product catalog, billing, and account data through natural language commands. Built by WYRE Technology for MSP environments.

Provides comprehensive access to Cakemail's email marketing platform, enabling management of email campaigns, contact lists, transactional emails, and sender configurations. Supports full campaign lifecycle operations including creation, scheduling, sending, and analytics retrieval. Built as a Vercel-hosted streamable HTTP endpoint with API key authentication.

Official MailerLite MCP server that provides AI assistants with comprehensive email marketing capabilities through direct API integration. Built by MailerLite, it offers 40+ tools spanning subscriber management (add, update, list, delete with GDPR compliance), campaign operations (create, schedule, cancel with A/B testing support), group and segment management, automation workflows, form handling, and webhook configuration. The server supports multiple authentication methods and connects seamlessly with popular AI clients including Claude, ChatGPT, Gemini CLI, VSCode, and Cursor through a standardized HTTP endpoint, making it valuable for automating email marketing workflows, managing subscriber databases, and building AI-powered marketing assistants that can handle complex multi-step email campaign operations.

MisarMail provides a comprehensive email marketing solution for sending beautiful email campaigns, automating workflows, and growing your audience. The platform includes inbox management, campaign creation, contact management, template building, and analytics tracking. MisarMail offers both hosted infrastructure and MCP integration for programmatic access.

NitroSend is an email marketing platform built from the ground up with AI as the primary interface. It exposes its full email capabilities — campaigns, automations, transactional email, contact management, segmentation, templates, and analytics — through MCP and a REST API. Users connect via Claude, ChatGPT, Gemini, Cursor, or Codex and control their entire email stack through natural language prompts. The platform supports both transactional and marketing emails on separated infrastructure, with automatic DKIM/SPF/DMARC authentication, dedicated IPs, and auto-warmup.

Senders is an email marketing platform for cold outreach and campaign management. Connect to Senders' hosted MCP endpoint to send emails, manage contact lists, track campaign performance, and automate outreach workflows.

Connects to the SendPulse email marketing platform through its API. Supports retrieving mailing lists, sending email campaigns, and accessing campaign performance statistics. Uses OAuth2 client credentials for authentication.

Postari is an AI-native email marketing platform enabling management of campaigns, one-to-one emails, contacts, automated flows, and performance metrics through MCP. Designed for direct integration with AI agents to automate email marketing operations. Authoritative description translated from Spanish.

Revenue intelligence MCP: RFM analysis, 14.5-point ICP scoring, pipeline health. HubSpot.

BuildForce automates enterprise SaaS operations using AI, targeting teams managing Salesforce, HubSpot, and ServiceNow environments. Provides health checks with one-click remediation, CI/CD automation with policy-aware deployment pipelines, data management with schema governance, and an AI consultant for 24/7 expert guidance. Designed to replace or augment full-time platform administrators.

Dolfin provides AI agents with access to a B2B sales compensation platform that automates commission calculations, delivers real-time payout transparency for sales teams, and integrates with CRMs including Salesforce, HubSpot, and Pipedrive, as well as ERPs and HRIS tools. The hosted endpoint requires authentication and is deployed on the Dolfin platform.

Stumpy provides access to persistent AI agents that operate continuously across multiple messaging channels. Create, configure, and manage agents that can be reached through Slack, Telegram, SMS, email, and web chat. Supports listing agents, sending messages, toggling plugins, managing files and databases, and controlling agent lifecycle including suspend, resume, and delete operations.

Provides Telegram integration through the AI Church platform. Enables browsing Telegram chats, reading message history, and generating message summaries. Requires Google authentication to connect your Telegram account.

Provides tools for interacting with the Telegram Bot API, including sending messages to chats, retrieving bot identity information, and fetching recent updates. Also exposes a resource endpoint for checking bot operational status. Requires a Telegram bot token obtained through BotFather.

Intercepts MCP tool calls through an approval middleware layer that routes sensitive operations to Telegram for human verification. Supports policy-based auto-approval for read-only operations, temporary trust elevation windows, SHA-256 hash verification, and pluggable Google Workspace integrations.

FieldCure Outbox enables AI agents to send messages across multiple communication platforms from a single MCP interface, supporting Slack, Telegram, Email, KakaoTalk, and Discord. Distributed as a NuGet package for .NET stdio usage.

Flagram is an advertising marketplace for social channels on Telegram, VKontakte, and Max. The MCP server exposes tools for searching channels by category, geography, and audience metrics, managing ad campaign carts, and accessing platform statistics including reach, engagement rate, and cost-per-view data. Authentication requires an API token obtained from flagram.com.

Connects to Telegram via the Telethon MTProto library, providing comprehensive account-level access for cyber threat intelligence workflows. Supports chat and group management, messaging with inline buttons and polls, contact operations, media upload/download, sticker sets, privacy settings, and public chat discovery. Includes a deny-by-default file-path allowlist for secure file operations and Docker deployment support.

MCP server enabling AI agents to send and receive Telegram messages through the Telegram Bot API. Provides programmatic control over bot interactions for automated messaging workflows.

Provides uptime monitoring tools covering 22 protocols including HTTP, TCP, DNS, gRPC, WebSocket, SSL certificates, WHOIS, SMTP, and more. Detects downtime and sends alerts within seconds to Telegram, Discord, Slack, Microsoft Teams, and webhooks. Supports public status pages, configurable check intervals down to 1 minute on the free tier, and API key management. Available as a Docker container for self-hosted operation or as a hosted remote endpoint requiring authentication.

Social media scheduler for Instagram, Facebook, YouTube, TikTok, LinkedIn, X, Bluesky, and Telegram.