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jhoy1020

garmin-coach-mcp

by jhoy1020
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Python
Hybrid

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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

    A4.1/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct concern: status, activity retrieval, strength analysis, recovery trends, and workout management. Even the strength-related tools are clearly separated by scope (single activity vs. history vs. recommendation), so an agent can reliably select the right one.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (list_activities, get_activity, create_strength_workout, schedule_workout, delete_workout, suggest_next_weight), but garmin_status deviates from this pattern, making the naming slightly inconsistent overall.

    Tool Count5/5

    With 12 tools, the server is well-scoped for its purpose: it covers activity data, health metrics, strength analysis, and workout management without unnecessary redundancy or bloat.

    Completeness4/5

    The server covers the main coach workflows: reading activities, analyzing strength progression, suggesting next weights, and managing workouts. Minor gaps such as listing scheduled workouts or updating an existing workout are easy to work around and do not cripple the overall tool surface.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources