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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 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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    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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    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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    Enables searching and managing Spotify playlists, tracks, and user information through the Spotify Web API.
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    MIT
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    MCP server for The Movie Database (TMDB): search and look up movies, TV shows and people, and read IMDb/Rotten Tomatoes/Metacritic ratings (via OMDb) in the same call.
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    Enables AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.
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    Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.
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    Apache 2.0
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    A WHOIS domain name query server based on Model Context Protocol (MCP), supporting the resolution of over 877 top-level domains and 169 country code top-level domains, and providing comprehensive domain name registration information query functions.
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    Enables managing your own IMDb account through MCP, including searching titles, rating movies, and viewing or modifying your Watchlist using locally imported browser cookies.
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    MCP server for managing media downloads with Radarr and Sonarr, providing granular tools for searching, adding, and grabbing movies and TV shows through natural language.
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    A smart AniList integration for the Model Context Protocol that provides AI assistants with tools for searching media, managing watchlists, and analyzing user anime or manga tastes. It goes beyond basic API calls by offering personalized recommendations, taste comparisons, and natural language profile summaries.
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    A personal MCP server that analyzes your Spotify streaming history locally, enabling queries, artist insights, and recommendations using a local SQLite database.
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    MIT