Apple Health MCP
Related Servers
Alternatives to Apple Health MCP
No user-submitted related servers found.
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.2 npm68MIT
- AlicenseAqualityAmaintenanceRead-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.930Apache 2.0
- AlicenseBqualityDmaintenanceEnables 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.62MIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to query and explore self-hosted Apple Health data, including daily metrics, time series, workouts, ECG records, heart notifications, sleep sessions, trends, freshness, and schema resources through authenticated streamable HTTP.MIT
- AlicenseAqualityAmaintenanceOpen-source MCP server for MetricBridge (formerly Health Export AI). 16 tools and 22 prompts let any MCP agent query 190 Apple Health metrics from files on your own machine. The server is read-only, has zero dependencies and makes zero network calls.221,214 npm11MIT
- AlicenseAqualityDmaintenanceQuery 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
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.