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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.

9,443 servers. Last updated -

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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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    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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    This read-only MCP Server allows you to connect to Act-On data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
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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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    MIT License
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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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    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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    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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    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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    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 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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    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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    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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    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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    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 comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.
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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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    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 enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.
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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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    Provides comprehensive access to People Data Labs' data models and search capabilities, enabling enrichment of person and company profiles, multi-criteria searches, and autocomplete functionality through a Model Context Protocol interface.
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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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