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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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.