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    A comprehensive guide and template collection for building model Context Protocol (MCP) servers using FastMCP and deploying them to Google Cloud Run.
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    Apache 2.0
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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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    A service that provides HackerNews content search, retrieval and analysis through the Model Context Protocol, suitable for AI agents and developers.
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    Apache 2.0
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    Enables MCP clients to manage Apple Music playlists end-to-end, including search, playlist creation and editing, metadata and flow auditing, track ordering optimization, and listening statistics, without an Apple Developer account.
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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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    Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.
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    MIT
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    An MCP server for The Skeptics' Guide to the Universe podcast — search transcripts, look up episodes, pull Science or Fiction, and search news items, all from inside Claude.
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    Enables searching, managing playlists, getting recommendations, and downloading music from TIDAL through natural language commands via the Model Context Protocol.
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    MIT
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    A MCP server that implements sequential thinking protocols, provides structured problem-solving methods, decomposes complex problems into manageable steps, and supports iterative optimization and alternative reasoning paths.
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    Apache 2.0
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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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    MCP server that provides Danish TV guide data, enabling AI assistants to answer queries about TV schedules, channel listings, and programme searches.
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    MIT
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    The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.
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    Apache 2.0
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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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    Enables searching and managing Spotify playlists, tracks, and user information through the Spotify Web API.
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    MIT