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  • A
    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
    132
    3
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    MCP server for Spotify that enables playlist building and music discovery through 19 tools, allowing LLM agents to search tracks/artists/albums, manage playlists, control playback, and access personal listening data.
    20
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    A comprehensive guide and template collection for building model Context Protocol (MCP) servers using FastMCP and deploying them to Google Cloud Run.
    1
    2
    Apache 2.0
  • A
    license
    B
    quality
    B
    maintenance
    Enables Claude to manage Spotify playlists and analyze personal listening history, including account reads, playlist writes, local analytics from data exports, and building playlists from track lists.
    35
    MIT
  • A
    license
    C
    quality
    D
    maintenance
    Enables users to control and monitor NZBGet Usenet downloads through natural language using MCP-compatible clients. It provides 17 tools for managing download queues, tracking history, and adjusting server settings like speed limits.
    15
    1
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    An MCP server that enables users to control Spotify playback, search for music, and manage playlists through MCP-compatible clients. It supports features like track recommendations and playback management using secure OAuth authentication.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Bridges AI assistants to Autodesk ShotGrid (Flow Production Tracking) data, enabling CRUD, search, batch operations, and schema exploration via typed MCP tools with progressive loading.
    1
    MIT