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Alternatives to Apple Health MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Read-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.
      7
      Apache 2.0
    • F
      license
      B
      quality
      D
      maintenance
      Enables Claude to answer natural language questions about your Apple Health data by analyzing local CSV exports, supporting metrics like steps, heart rate, sleep, and more.
      6
      2
      -
    • A
      license
      A
      quality
      A
      maintenance
      An MCP server that enables AI agents to query Apple Health data (190+ metrics) in natural language, including trends, comparisons, and structured exports.
      14
      119 npm
      4
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.
      3
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Local-first MCP server that reads Apple Health export files (export.xml/zip) and exposes activity, sleep, HRV, and workout data to AI agents, keeping all data on your machine.
      18
      169 npm
      2
      MIT

    TDQS

    B3.2/5.0

    Scored across 3 tools

    Disambiguation4/5

    The three tools have distinct primary purposes: daily summary, trends over a range, and workouts. However, apple_health_daily and apple_health_trends overlap significantly in metrics (steps, HR, HRV, sleep), which could cause confusion about when to use each. The descriptions help clarify, but some ambiguity remains.

    Naming Consistency5/5

    All tool names follow a consistent apple_health_* pattern with clear, descriptive suffixes (daily, trends, workouts). This predictable naming makes it easy for agents to understand the tool set and infer purposes without confusion.

    Tool Count3/5

    With only 3 tools, the server feels thin for the Apple Health domain, which typically includes more operations like adding data, querying specific metrics, or managing permissions. While it covers basic retrieval, the scope seems limited compared to the potential complexity of health data.

    Completeness2/5

    The tool set is severely incomplete for an Apple Health server, focusing only on retrieval of daily summaries, trends, and workouts. There are no tools for creating, updating, or deleting health data, nor for accessing detailed metrics or settings, which are common in health APIs. This will likely cause agent failures in broader health management tasks.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues