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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.

9,449 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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    MIT License
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    A MCP server that aggregates hot trends and rankings from various Chinese websites and platforms including Weibo, Zhihu, Bilibili, and more.
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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 MCP server that allows searching for files in the filesystem based on path fragments, returning file metadata including name, path, size, and creation date.
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    Search and retrieve news articles and trending keywords from Google News and Google Trends. Summarize articles and extract keywords using optional NLP and LLM Sampling to get concise insights.
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    Intelligent domain name suggestion service that checks real-time availability across multiple providers and works with MCP-compatible tools like Cursor and Claude Code.
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    Apache 2.0
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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 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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    MIT License
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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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    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 server for downloading, processing, and managing YouTube content with features like video quality selection, format conversion, and metadata extraction.
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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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    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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    A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.
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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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    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 for YouTube in Jp
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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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    MIT License
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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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    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 enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.
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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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    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 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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    Provides functionality to search YouTube videos and automatically save the results to Google Sheets.
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    A Model Context Protocol server that provides comprehensive YouTube search functionality, enabling users to search for videos, channels, and playlists with advanced filtering options using the YouTube Data API.
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    Enables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.
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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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    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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    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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