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    maintenance
    Enables interaction with Spotify through MCP, providing tools for searching tracks, artists, albums, playlists, and accessing user data like top tracks and recently played.
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    maintenance
    Provides distraction-free access to YouTube by allowing AI assistants to retrieve subscribed channels, latest videos, and transcripts without algorithmic recommendations. It enables searching within subscriptions and direct reading of video content through simple browser cookie authentication.
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    license
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    maintenance
    An MCP server for the Servarr stack — Sonarr, Radarr, Lidarr, Readarr, and Prowlarr — packaged as a Docker container. Lets an MCP client (Claude Desktop, etc.) browse and search whichever \*arr apps you're running.
    29
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Fetch Songsterr tabs and transpose them between tunings and string counts, outputting ASCII or Guitar Pro files.
    4
    GPL 3.0
  • A
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    A
    quality
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    maintenance
    An MCP server providing access to Sveriges Radio's P3 channel music playlists, including real-time tracks and historical data. It enables AI assistants to fetch current songs and search the last 90 days of playlist history by date or artist.
    2
    1
    MIT
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    license
    A
    quality
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    maintenance
    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.
    55
    141
    3
    MIT
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    license
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    quality
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    A production-ready MCP server for YouTube integration with intelligent caching. Enables searching videos, retrieving transcripts, analyzing channels, and monitoring live streams via natural language.
    31
    1
    MIT
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    license
    A
    quality
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    maintenance
    An entertainment recommender MCP server that integrates with TMDB to help agents discover films and television shows based on genre, release year, and language. It also includes utilities for comparing multi-agent LLM responses and analyzing entertainment industry data.
    6