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gh33k

Apple Health Chat MCP

by gh33k

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    • A
      license
      A
      quality
      B
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      Provides Claude with real-time access to local health data including sleep, recovery, strain, and workouts from WHOOP and Apple Health, enabling informed context-aware interactions.
      6
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Connects your Whoop health data to Claude, enabling natural language queries about recovery, sleep, strain, and workouts.
      370
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    • A
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      A
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      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
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    • A
      license
      B
      quality
      C
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      Enables users to query Apple Health metrics, workouts, and trends from CSV files exported via the Health Auto Export app. It allows MCP clients to analyze health data such as heart rate, sleep stages, and activity levels directly from local iCloud Drive storage.
      3
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    • F
      license
      B
      quality
      D
      maintenance
      Enables Claude to directly access, query, and analyze local CSV files using natural language, keeping data private and local.
      4
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      -

    TDQS

    B3.3/5.0

    Scored across 6 tools

    Disambiguation2/5

    Multiple tools have overlapping purposes: health_export_metrics and health_export_get_metrics both retrieve metric data with filtering, and health_export_query can also be used for similar queries. health_export_ask is a catch-all natural language interface that may subsume the others, creating confusion about which tool to select.

    Naming Consistency3/5

    All tools share the 'health_export_' prefix, but the suffixes mix verb forms (query, report, ask, get_metrics) with noun forms (schema, metrics). The similar names 'health_export_metrics' and 'health_export_get_metrics' further reduce consistency.

    Tool Count5/5

    With 6 tools, the server is well-scoped for querying and analyzing Apple Health export data. Each tool has a place in the workflow, and the count is within the ideal range for a domain-specific server.

    Completeness4/5

    The server covers schema discovery, raw data retrieval, aggregated metrics, reports, and natural language queries, providing a solid read-only query surface. Minor gaps exist, such as no explicit way to list all available export files, but these are not critical for the core purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues