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Related Servers

Alternatives to runcoach

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      Connects Garmin watch data to Claude Desktop, allowing users to ask natural language questions about their health and activity data from Garmin Connect.
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      Connects Claude Desktop to your Garmin Connect running data stored locally in SQLite, enabling querying, syncing, and AI analysis of fitness activities.
      1
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables reading and analyzing Garmin Connect data—activities, health metrics, FIT files, and challenges—through natural language, for AI assistants like Claude and ChatGPT.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables Claude Desktop to access and analyze Garmin wearable health data including sleep, HRV, Body Battery, and activity metrics. Users can query their health trends, track recovery, and generate interactive HTML dashboards using natural language.
      9
      6
      MIT

    TDQS

    A4.2/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool maps to a distinct analytical question: readiness verdict, aggregate recovery, single-day detail, trend, load, activity digest, intensity split, single-workout analysis, VO2max history, and sync. Overlapping data sources are explicitly scoped in the descriptions, so an agent can reliably pick the right one.

    Naming Consistency5/5

    Nine of ten tools follow the uniform get_<domain> pattern, and the one exception (sync_garmin) is a clearly distinct imperative action. There is no mixing of naming styles or vague generic verbs.

    Tool Count5/5

    Ten tools is a well-scoped number for a running/recovery analytics server. Each tool covers a distinct data-retrieval concern and none feels redundant or unnecessary.

    Completeness4/5

    The surface thoroughly covers retrospective training and recovery analysis: readiness, load, trends, activities, intensity, and single-workout details. The main gap is forward-looking coaching functionality such as workout prescription or race prediction, but the stated analytics workflows are essentially complete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues