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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.

9,497 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 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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    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 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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    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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    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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    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 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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    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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    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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    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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    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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    A Model Context Protocol implementation that bridges language models with LinkedIn's API, enabling profile access, posting content, searching people, and retrieving company information through standardized tools.
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    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for LinkedIn Ads (beta): https://www.cdata.com/download/download.aspx?sku=EBZK-V&type=beta
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    A scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.
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    Automates the creation and scheduling of LinkedIn posts using MCP server integration, allowing users to manage content and automatically publish to their LinkedIn accounts.
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    Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.
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