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Related Servers

Alternatives to cadence

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Connects your Whoop health data to Claude, enabling natural language queries about recovery, sleep, strain, and workouts.
      458 npm
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      Connects WHOOP fitness data to Claude Desktop, enabling natural language queries about workouts, recovery, sleep patterns, and health metrics while keeping data secure and private.
      -
    • A
      license
      A
      quality
      D
      maintenance
      Gives Claude access to your WHOOP health data including recovery, sleep, workouts, cycles, body measurements, and profile via the WHOOP Developer API.
      7
      14 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Exposes Whoop fitness data (recovery, sleep, strain, workouts) to Claude for use as a daily training coach, enabling natural language queries about your health metrics and training readiness.
      MIT

    TDQS

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of health data: daily metric time series, WHOOP recovery, sleep sessions, trend comparison, workouts, and a natural-language summary. Descriptions clearly differentiate overlapping metrics by source and form (e.g., resting heart rate in get_daily_metric vs. in get_recovery).

    Naming Consistency5/5

    All six tools follow a consistent get_<noun> pattern in snake_case. No mixing of styles or verbs, making the tool surface predictable.

    Tool Count5/5

    Six tools is well-scoped for a health data aggregation server: one for daily metrics, recovery, sleep, trends, workouts, and a summary. Each tool serves a clear purpose without redundancy.

    Completeness4/5

    The tool set covers the main areas of personal health data (daily metrics, recovery, sleep, workouts, trends, summary). A minor gap is the lack of intraday or raw sensor data, but given the focus on daily aggregates and summaries, the coverage is strong.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues