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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.

11,295 servers. Last updated -

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    High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.
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    A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.
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    This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.
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    A simple MCP server that allows AI assistants like Cursor or Claude Desktop to search for and play tracks on YouTube Music through natural language commands.
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    A server that enables interaction with YouTube data through the Model Context Protocol, allowing users to search videos, retrieve detailed information about videos/channels, and fetch comments.
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    A Model-Context Protocol Server for YouTube in Jp
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    A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.
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    This server allows AI language models to interact with YouTube content through a standardized interface, providing features such as video and channel information retrieval, transcript management, and playlist operations.
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    An MCP server that provides AI assistants with powerful tools to interact with YouTube, including video searching, transcript extraction, comment retrieval, and more.
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    A Model Context Protocol server that enables AI assistants to extract transcripts from YouTube videos, allowing AI to analyze and work with video content directly.
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    A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.
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    MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.
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    Transforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.
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    A Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support.
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    A comprehensive MCP server for extracting YouTube video transcripts with support for multiple transports, languages, and output formats.
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    Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
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    A Model Context Protocol server that provides Claude with tools to interact with YouTube, built on the mcp-framework.
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    Bridges YouTube API and AI assistants, enabling video analysis by downloading and processing closed captions to create summaries of YouTube videos.
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    Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.
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    A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.
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    This read-only MCP Server allows you to connect to YouTube Analytics 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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    Enables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.
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    Enables fetching, searching, and analyzing YouTube video transcripts in multiple languages using yt-dlp. Supports timestamp filtering, language detection, and transcript summaries with robust error handling for production use.
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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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    Enables secure access to your YouTube Watch Later playlist, allowing retrieval of video URLs added within a specified timeframe through a simple interface using OAuth2 authentication.
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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 FastAPI server that enables interaction with YouTube's data through search, video details, channel information, and comment retrieval endpoints.
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    Enables AI systems to download and analyze YouTube video comments through 4 specialized tools without requiring API keys, supporting engagement analysis, comment search, and statistics gathering.
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    Enables automated posting of videos to YouTube Shorts and Instagram Reels with OAuth 2.0 authentication, file validation, and comprehensive video processing capabilities. Provides MCP-compatible tools for seamless social media video uploads through a FastAPI server.
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    A powerful text extraction service that converts YouTube video content into clean, timestampless transcripts for content analysis, research, and processing workflows.
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    Apache 2.0
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    The MCP Server integrates APIs from the Youtube-Summarizer as tools within the MCP protocol, allowing for local AI application interaction and tool utilization through natural language queries.
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    Enables extraction of transcript text from YouTube videos by providing the video URL, supporting standard, shortened, and embed URL formats.
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