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    A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.
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    MIT
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    Exposes Spotify controls as MCP tools for playback, playlist management, and AI playlist generation; includes a web app and supports multi-user profiles.
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    Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.
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    MIT
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    A read-only MCP server that connects to Calibre-Web ebook libraries via OPDS feeds, enabling AI assistants to search and browse books, shelves, covers, and library statistics.
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    MIT
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    MCP server that enables natural language control of internet radio from Claude Code, with access to 30,000+ global stations, auto-playback via mpv, and a real-time status line with audio spectrum visualization.
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    MIT
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    Enables AI assistants to control Sonos audio devices over a local network using UPnP/SOAP protocols, supporting playback, volume, queue management, zone grouping, and music library browsing.
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    MIT
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    MCP server for controlling local music playback via NetEase Cloud Music, enabling search, play, pause, skip, and lyrics display through a local web player.
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    MIT
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    Connects AI assistants to a self-hosted Your Spotify instance and Spotify's Web API for deep listening analytics and playback control. It enables users to query unlimited listening history, generate custom Wrapped summaries, and manage playlists through natural language.
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    Apache 2.0
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    Provides MCP access to the BangumiTV API, allowing users to retrieve and interact with anime, manga, music, and game information through natural language queries.
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    One-stop aggregation service of hot trends across the entire network based on the Model Context Protocol (MCP) protocol, supporting real-time updates and multi-data source expansion.
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    Apache 2.0
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    An MCP protocol server that supports multi-AI personality summoning and collaboration, which can be used for intelligent collaboration in multiple scenarios such as code analysis and product design.
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    Enables users to retrieve Pokémon statistics, sprite images, and complete information using the PokeAPI. Supports querying by Pokémon name or ID number to get base stats, various sprite URLs including shiny variants, and comprehensive Pokémon data.
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    Enables AI agents to search for YouTube videos and play them in the default browser as a playlist via natural language commands. It leverages the YouTube Data API v3 to provide specific tools for video discovery and media playback orchestration.
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    MIT