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urmusic-mcp

by ipaud
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Python
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    Deploy Server
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    TDQS

    A4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a clearly distinct purpose: raw SQL querying, dormant artist discovery, artist expansion via MusicBrainz, artist profile, yearly review, top albums, and schema introspection. Even listening_year_in_review vs listening_top_albums are explicitly disambiguated in their descriptions (grouping by artist vs album).

    Naming Consistency5/5

    All tools follow a consistent listening_verb_noun pattern (query, find_dormant, expand_artist, artist_profile, year_in_review, top_albums, schema). The verb_noun structure is uniform and predictable throughout.

    Tool Count5/5

    Seven tools is a well-scoped set for a listening-history MCP server. Each tool earns its place: data access, schema introspection, and several distinct analytical/exploratory queries.

    Completeness4/5

    The surface covers the main listening-history use cases well: raw querying, artist profiles, top albums, yearly review, dormant-artist leads, and artist expansion. A minor gap is the lack of a broader 'top artists all-time' tool independent of a specific year, though listening_query could cover it.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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