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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 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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    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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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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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 analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.
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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 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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    Provides functionality to search YouTube videos and automatically save the results to Google Sheets.
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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 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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    Enables interaction with YouTube videos by extracting metadata, captions in multiple languages, and converting content to markdown with various templates.
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    An MCP server that allows Claude and other AI assistants to interact with the YouTube API, providing tools to search videos/channels and retrieve detailed information about them.
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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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    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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    A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.
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    - Upload videos to YouTube from MCP - Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support
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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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    An MCP server that enables LLMs to search YouTube, retrieve video information, and access video transcripts through standardized tools.
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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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    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 for YouTube in Jp
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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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    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 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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    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 Claude AI to extract transcripts from YouTube videos with zero setup required. Works on all platforms including mobile, supports multiple languages, and handles all YouTube URL formats through a cloud-hosted service.
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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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    Enables AI models like Claude to easily access and utilize subtitle data from YouTube videos by extracting transcripts from video URLs with support for multiple languages.
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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 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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    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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    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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