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DkwtMCP

by bynoe17
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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 22 tools

    Disambiguation4/5

    Most tools target distinct metrics (readiness, sleep, HRV, zones, activities, workouts, body composition), but there is minor overlap between garmin_fitness_metrics and garmin_training_status (both include VO2max) and between fitness_weekly_summary and fitness_recovery_vs_training. Descriptions are detailed enough to guide selection.

    Naming Consistency3/5

    Naming mixes prefixes 'garmin_' and 'fitness_' with inconsistent patterns: nouns ('garmin_sleep'), verb_noun ('garmin_get_activities'), and multi-word descriptors ('fitness_recovery_vs_training'). No uniform convention, but still readable.

    Tool Count4/5

    22 tools is on the higher side for a single server, but each serves a distinct purpose within the fitness/health domain. The count is justifiable given the comprehensive coverage of data retrieval, analysis, and workout management.

    Completeness4/5

    The tool surface covers data retrieval, workout scheduling, and analysis, with CRUD for workouts. Minor gaps: no manual input tools for sleep or HRV, and activities are read-only. However, core training and recovery workflows are well-supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources