Apple Health MCP
Related Servers
Alternatives to Apple Health MCP
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Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables querying health data from the Health Auto Export app on iPhone/iPad via MCP, allowing LLMs like Claude to access and analyze personal health metrics.9 npm65MIT
- AlicenseNot gradedqualityAmaintenanceRead-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.7Apache 2.0
- FlicenseBqualityDmaintenanceEnables 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.62-
- AlicenseAqualityAmaintenanceAn MCP server that enables AI agents to query Apple Health data (190+ metrics) in natural language, including trends, comparisons, and structured exports.14119 npm4MIT
- AlicenseAqualityBmaintenanceQuery 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.3MIT
- AlicenseAqualityAmaintenanceLocal-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.18169 npm2MIT
TDQS
Scored across 3 tools
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.
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.
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.
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.