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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.

10,463 servers. Last updated -

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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 allows AI models to control YouTube Music playback through Google Chrome by searching and playing songs using song and artist names.
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    Enables music management through search, playlist creation, and intelligent recommendations. Supports searching by song, artist, or album, creating and managing playlists, and getting music recommendations based on genre and mood.
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    A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.
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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 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 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 for YouTube in Jp
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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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    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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    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 server built on mcp-framework that enables integration with Claude Desktop through the Model Context Protocol.
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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 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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    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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    Provides functionality to search YouTube videos and automatically save the results to Google Sheets.
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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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    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 access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.
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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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    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 powerful Model Context Protocol (MCP) tool for exploring and managing different types of databases including PostgreSQL, MySQL, and Firestore.
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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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    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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    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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    An MCP server that implements the 'think' tool, providing Claude with a dedicated space for structured thinking during complex problem-solving tasks to improve reasoning capabilities.
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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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    An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.
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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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    • Apple