apple-health-export-mcp
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Alternatives to apple-health-export-mcp
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Related Servers
- AlicenseNot gradedqualityCmaintenanceLoads Apple Health export data into a local SQLite database and exposes tools to query health metrics and workout records via natural language.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.18221 npm2MIT
- 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
- AlicenseBqualityCmaintenanceEnables 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.35 npm1MIT
- AlicenseBqualityCmaintenanceEnables MCP clients to query locally computed recovery, strain, sleep, workout, and heart-rate data from a personal SQLite database, with tools for daily and sleep summaries, workout details, heart-rate buckets, schema inspection, reports, sync, and read-only SQL.8MIT
- 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
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: get_quantity aggregates numeric metrics, get_sleep handles sleep stages, get_workouts summarizes workouts, list_sources lists devices, and list_types enumerates health metrics. No overlap in functionality.
All tools follow a consistent verb_noun pattern using snake_case (e.g., get_quantity, list_sources). There is no variation in style or convention.
With 5 tools, the server is well-scoped for a health data export interface. Each tool serves a distinct purpose without redundancy, and the count is neither too sparse nor too heavy.
The tool surface covers key health data access: numeric metrics (get_quantity), sleep (get_sleep), workouts (get_workouts), source discovery (list_sources), and type discovery (list_types). This set supports common queries without obvious gaps for the domain.