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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.