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    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables music search, metadata retrieval, local audio analysis (tempo, key, energy), recommendations, song recognition, and classical work resolution via Spotify, Last.fm, AudD, MusicBrainz, and Songkick APIs.
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    • F
      license
      A
      quality
      D
      maintenance
      Enables Claude AI to convert, edit, and analyze MuseScore files (.mscz, .musicxml, MIDI) through natural language commands, supporting format conversion, transposition, harmony analysis, and more.
      20
      1
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Connects AI assistants to a local music library for full-text search and filtering of tracks, albums, artists, genres, composers, and lyrics, plus listening analytics and metadata hygiene audits. Also lets users generate and populate playlists and control playback (play, pause, seek, volume) in a running player instance.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables normalization of musical piece and composer names by searching the Pitina Piano Piece Encyclopedia, returning official titles, composer names, opus numbers, and performance times.
      4
      1
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables users to search the YouTube Music catalog and manage playlists using natural language. It provides tools for searching songs, albums, and artists, as well as performing playlist operations like creating, adding, and deleting tracks.
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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables interaction with Spotify's music catalog through natural language conversations. Search for tracks and artists, get recommendations, explore playlists, and browse artist discographies using the Spotify Web API.
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    TDQS

    A4.4/5.0

    Scored across 7 tools

    Disambiguation4/5

    The seven tools split cleanly by resource and action: search_works vs search_people, get_work vs list_work_files, get_person vs list_person_works, and the descriptions explicitly contrast the paired ones ('This reads the person; list_person_works reads what they wrote'). The only soft boundary is between browse_category and list_person_works, which share the same category-reading mechanics but differ by facet type (genre/key/instrumentation vs person).

    Naming Consistency5/5

    Every name follows a strict verb_noun pattern (search_*, get_*, list_*_*, browse_*) in snake_case with no deviations. The verb choice also carries meaning: get_ for single-entity reads, list_ for paged collections, search_ for queries.

    Tool Count5/5

    Seven tools is well-scoped for a read-only music library: two searches, two entity readers, two paged listers and one category browser. No tool is redundant, and nothing obviously needed is crammed in.

    Completeness4/5

    The surface covers the whole read lifecycle: discovery via search, entity detail via get_work/get_person, and inventory via list_work_files/list_person_works/browse_category, with pagination and section filtering documented. The gap is category discovery: browse_category demands facet names that only come back from get_work, so there is no way to enumerate genres, keys or instrumentations from a cold start.

    Maintenance

    ActivityActive
    ResponsivenessLimited data