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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

11,838 servers. Last updated -

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    MCP server that fetches LinkedIn profile information using the Fresh LinkedIn Profile Data API, allowing users to retrieve profile data in JSON format by providing a LinkedIn profile URL.
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    A powerful LinkedIn Profile Analyzer that seamlessly integrates with Claude AI to fetch and analyze public LinkedIn profiles, enabling users to extract, search, and analyze posts data through RapidAPI's LinkedIn Data API.
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    Enables comprehensive LinkedIn profile search, data extraction, and contact enrichment using Google Search, Apollo.io, and AI-powered analysis. Includes automated data mining workflows with database storage and CSV export capabilities.
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    Provides comprehensive word definitions, pronunciations, meanings, and examples for any English word using the Free Dictionary API. Includes a random word-of-the-day feature with difficulty levels for vocabulary building.
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    Enables users to fetch, analyze, and manage LinkedIn posts data through tools that retrieve profiles, search posts by keywords, filter by date, and identify top-performing content based on engagement metrics.
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    MIT License

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    Enables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.
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    Enables Claude to access and analyze LinkedIn profile data through the Model Context Protocol, allowing users to query their LinkedIn information directly within Claude Desktop.
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    Dynamic tools to automate tasks on LinkedIn website.
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    A Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.
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    A comprehensive Model Context Protocol server that enables AI assistants to interact with LinkedIn APIs for profile management, content creation, networking, messaging, and analytics.
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    A Model Context Protocol (MCP) server that provides tools to interact with LinkedIn's Feeds and Job API. You can do "search for 3 data engineer jobs in . For each job check if it a good match for me by analyzing it against my resume in file resume.md."
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    The Unlicense
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    Enables extraction of comprehensive LinkedIn profile data including experience, education, skills, and contact information through browser automation. Requires manual LinkedIn credentials input and uses anti-detection measures for reliable scraping.
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    Enables posting text and media content directly to LinkedIn from Claude Desktop with support for authentication and visibility controls.
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    A FastMCP-based server that enables programmatic LinkedIn automation and data extraction through browser automation, offering secure authentication and tools for profile operations and post interactions while respecting LinkedIn's rate limits.
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    Enables AI assistants to interact with LinkedIn by scraping profiles, companies, job postings, and getting personalized job recommendations using authenticated browser automation.
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    Apache 2.0
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    A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.
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    AoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.
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    A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
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    Enables creation of optimized LinkedIn posts using a component-based design system with variants, themes, and composition patterns. Supports multiple post types (text, document, poll, video, carousel) with research-backed optimization for maximum engagement.
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    A server that enables AI assistants to interact with LinkedIn programmatically for job searching, resume/cover letter generation, and managing job applications through standardized JSON-RPC requests.
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    Allows agents to get the current location of the user based on their IP Address or to fetch the location of any IP Address.
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    Dynamic LinkedIn MCP providing usability and functionality
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    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
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    Provides tools for automating LinkedIn job post search and management. Job opportunities often appear in LinkedIn posts first, before they're posted on traditional job boards. By monitoring LinkedIn posts, you can discover opportunities earlier and get a competitive advantage in your job search.
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    Implements the Chain of Draft reasoning approach to generate minimalistic intermediate reasoning outputs while solving tasks, significantly reducing token usage while maintaining accuracy.
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    MCP server for the Clash of Clans API. Can get player, clan information, analyze ongoing wars, as well as war logs (provided they are public).
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    A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.
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    An MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.
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