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garmin-athletics-mcp

by danielmcewan
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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

    B3.2/5.0

    Scored across 8 tools

    Disambiguation3/5

    Some tools have overlapping focus: get_recovery_snapshot and get_performance_metrics both include recovery data, while get_athletics_trends and get_recent_athletics_trends are similar except for time range. However, most tools have clearly distinct targets (daily health vs workouts vs trends).

    Naming Consistency4/5

    Most tools follow a consistent 'get_' or 'list_' verb+noun pattern, with 'compare_latest_workout' as a minor deviation. The naming is readable and predictable overall.

    Tool Count5/5

    Eight tools is well-scoped for an athletics data server, covering health, recovery, performance, workouts, and trends without bloat or sparseness.

    Completeness4/5

    The toolset covers the core read-only analytics domain well: daily health, recovery, performance metrics, workout listings/details/comparison, and trends. It lacks advanced features like fitness age or training load, but the main workflows are supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources