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garmin-mcp

garmin-mcp

by JacobHeart
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: library CRUD (list/get/create/update/delete), calendar operations (schedule/unschedule/upcoming), and separate read endpoints for activities, sleep, readiness, body metrics, race predictions and HR zones. The descriptions explicitly disambiguate the potentially confusable pairs (garmin_workouts_list vs garmin_upcoming_workouts, garmin_workout_delete vs garmin_workout_unschedule). No two tools appear to do the same thing.

    Naming Consistency4/5

    There is a clear, mostly consistent convention: a garmin_ prefix, bare noun phrases for read endpoints (garmin_sleep, garmin_activities, garmin_body_metrics) and garmin_workout_<verb> for mutations. The main wrinkle is the odd one-out garmin_workouts_list versus the singular garmin_workout_get/create/update, which breaks the pluralization pattern within the workout family.

    Tool Count5/5

    Fourteen tools sit comfortably in the well-scoped range, and every tool covers a distinct slice of the Garmin domain (workout lifecycle, calendar, and training/recovery reads). Nothing feels padded or redundant.

    Completeness4/5

    The workout lifecycle is fully covered — create, get, list, update, delete, schedule and unschedule — so there are no dead ends for the core workflow. Minor gaps remain: there is no single-activity detail tool (laps/splits/streams) and no way to duplicate a workout or manage courses/routes, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources