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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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Matching MCP servers:

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    MCP server that enables interaction with Reddit, allowing users to read trending posts, analyze discussions, create posts, add comments, and vote on content through Claude and Cursor.
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    MIT License
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    A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.
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    Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.
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    A Multi-Agent Conversation Protocol server that provides access to the New York Times Most Popular API, allowing agents to interact with NYT's most viewed, shared, and emailed content.
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    A plug-and-play MCP server that enables AI assistants to browse, search, and read Reddit content through the PRAW library.
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    Read Reddit post and hot thread
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    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
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    Enables browsing and searching Reddit content through read-only tools that access Reddit's official API. Supports searching posts, retrieving subreddit information, fetching hot posts, and getting detailed post information.
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    Provides AI assistants with read-only access to Reddit's API for browsing subreddits, reading posts and comments, searching Reddit, and retrieving user/subreddit information. Enables safe exploration of Reddit content without posting capabilities through natural language interactions.
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    A Model Context Protocol server that enables AI assistants like Claude to browse and analyze Reddit content, including searching subreddits, retrieving post details with comments, and viewing trending posts.
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    A Model Context Protocol (MCP) that provides tools for fetching and creating Reddit content.
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    An MCP server that enables AI assistants to access and interact with Reddit content through features like user analysis, post retrieval, subreddit statistics, and authenticated posting capabilities.
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    Provides access to Reddit's API for retrieving posts, comments, user information, and search functionality. Supports multiple authentication methods and comprehensive Reddit data operations including subreddit browsing, post retrieval, and user profile access.
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    A specialized MCP server that enables AI agents to interact with Reddit, including reading posts, creating content, and managing subreddit configurations.
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    A Model Context Protocol server that enables AI assistants to fetch Reddit content including consensus on topics, top posts, helpful links, and related subreddits.
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    Enables interaction with Reddit through a comprehensive API interface supporting both read-only operations (browsing posts, comments, user profiles) and authenticated actions (posting, commenting, voting) via OAuth2 authentication.
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    A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
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    A server allowing interaction with Reddit via the public API, enabling browsing frontpage posts, retrieving subreddit details, and reading post comments through a Model Context Protocol.
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    Enables comprehensive content management through Markdown processing, HTML rendering, intelligent fuzzy search, and document analysis. Supports frontmatter parsing, tag-based filtering, table of contents generation, and directory statistics for efficient content organization and discovery.
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    Enables AI assistants to browse Reddit, search posts, analyze user activity, and fetch comments without requiring API keys. Features smart caching, clean data responses, and optional authentication for higher rate limits.
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    Enables AI-powered Ghost CMS blog management through Claude Desktop with content generation, image creation, and complete post management. Integrates Google Gemini for content generation and Flux/Imagen for feature images with GitHub OAuth authentication.
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    A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
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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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    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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    An MCP server that provides access to project files and their contents, allowing users to retrieve file data from specified project directories with error handling and configuration options.
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    A Model Context Protocol server focused on China's A-share stock market that provides data on stocks, financials, market indices, and macroeconomic indicators.
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    Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.
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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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