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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.

9,450 servers. Last updated -

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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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    Extracts content from multiple video platforms (Douyin, Bilibili, Xiaohongshu, Zhihu) and generates intelligent knowledge graphs with OCR text recognition capabilities.
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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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    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 Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.
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    A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.
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    A server for downloading, processing, and managing YouTube content with features like video quality selection, format conversion, and metadata extraction.
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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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    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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    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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    Enables extraction of transcript text from YouTube videos by providing the video URL, supporting standard, shortened, and embed URL formats.
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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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    An MCP server that enables LLMs to search YouTube, retrieve video information, and access video transcripts through standardized tools.
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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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    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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    Automatically captures and processes screenshots from YouTube videos and Shorts at specified intervals, supporting customizable screenshot timing and providing API endpoints for image management.
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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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    Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.
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    Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.
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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-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 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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    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 AI assistants to access YouTube data in real-time, with capabilities for searching videos, analyzing channels, retrieving video details, and extracting transcripts.
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    Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.
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    A Model-Context Protocol Server for YouTube in Jp
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    Enables users to upload, search, edit, and generate videos through Video Jungle, supporting custom URI schemes and integration with video editing tools like DaVinci Resolve.
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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 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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    A Model Context Protocol server that enables AI assistants to perform comprehensive video and audio editing operations including trimming, effects, overlays, audio processing, and YouTube downloads.
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    Enables natural language search and interaction with video content through three tools: ingesting videos to a Ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps.
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