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garmin-mcp-local

by the-mace
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Python
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    TDQS

    A4/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of Garmin data: sync management, data retrieval for specific domains (activities, health, sleep, training), and direct SQL access. There is no functional overlap.

    Naming Consistency5/5

    All tools use a consistent snake_case verb_noun pattern (e.g., get_sleep, list_activities, sync_now), with 'get' and 'list' as common prefixes, making the naming predictable.

    Tool Count5/5

    9 tools is ideal for a Garmin data server: it covers core operations (sync, backfill, query) without being overwhelming or sparse. Each tool serves a clear purpose.

    Completeness4/5

    The set provides direct tools for activities, health metrics, sleep, and training trends, but lacks dedicated tools for backfilled categories like body composition or race predictions. However, the execute_sql tool allows ad hoc queries to fill these gaps.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources