apple-health-export-mcp
Allows querying Apple Health data including sleep, heart rate, steps, body mass, workouts, and other metrics by ingesting an exported health archive into a local SQLite database.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@apple-health-export-mcpshow my sleep stages for last night"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
apple-health-export-mcp
An MCP server that lets an AI assistant query your Apple Health data — sleep, heart rate, steps, body mass, workouts, and any other metric in your export.
Apple has no live export API, so this works on a snapshot: you export your health archive once, ingest it into a local SQLite database, then the server answers queries against it. See docs/adr.md for why.
Privacy: your health data never leaves your machine and is never committed to git (
.gitignoreexcludes*.zip/*.db).
How it works
export.zip ──(ingest, one-time ~1-3 min)──► health.db (SQLite) ──◄── MCP server queriesRelated MCP server: Apple Health MCP
Setup
Export your data on iPhone: Settings → Health → tap your photo → Export All Health Data. AirDrop/save the resulting
export.zip.Install with uv. Installing once (rather than
uvxon every launch) keeps the process tree shallow, which matters for clean shutdown — see Shutdown & process model.uv tool install apple-health-export-mcp # …or from source: uv tool install git+https://github.com/burakdirin/apple-health-export-mcpThis puts two commands on your PATH:
apple-health-export-mcp(the server) andapple-health-export-mcp-ingest.Ingest the archive (one time per new export):
AH_DB_PATH=~/.local/share/apple-health-export-mcp/health.db \ apple-health-export-mcp-ingest ~/Downloads/export.zipAdd to your MCP client (e.g. Claude Code
.mcp.json). The bare command starts the stdio server; point it at the DB you just built.Installed (recommended) — invoke the binary directly (no wrapper process):
{ "mcpServers": { "apple-health": { "command": "apple-health-export-mcp", "env": { "AH_DB_PATH": "/Users/you/.local/share/apple-health-export-mcp/health.db" } } } }Use an absolute path to the binary (
which apple-health-export-mcp) if your client doesn't inherit yourPATH.Or via
uvx(no install; the bare package name runs the server):{ "mcpServers": { "apple-health": { "command": "uvx", "args": ["apple-health-export-mcp"], "env": { "AH_DB_PATH": "/Users/you/.local/share/apple-health-export-mcp/health.db" } } } }claude mcp addequivalent:claude mcp add apple-health --env AH_DB_PATH=~/.local/share/apple-health-export-mcp/health.db \ -- apple-health-export-mcp
Shutdown & process model
The server is a single process that shuts down on stdin EOF — the MCP
spec's primary shutdown signal — so closing your client terminates it cleanly.
Avoid extra wrapper layers (uv run … fastmcp run …): uv/uvx stay in the
process tree as a parent and only conditionally forward signals, so a wrapped
server can be orphaned when the client exits or you press Ctrl+C. Installing the
tool and launching the binary directly (config above) gives the shallowest tree
and the most reliable cleanup. fastmcp run fastmcp.json is for local dev only.
Tools
Tool | Returns |
| Which metrics exist in your data + row counts and date spans (discovery) |
| Which devices/apps wrote a metric (counts, date spans) |
| Per day/week/month/all aggregate for a numeric metric (steps, HR, weight…) |
| Per-night sleep stage durations |
| Workout summary per activity type in the range |
All query tools require a date range and return aggregates only — never raw rows (ADR-0008).
get_quantity with agg="sum" auto-deduplicates parallel devices (Watch + iPhone + apps) so totals
aren't inflated (ADR-0010); pass source (see list_sources) to force one device.
Prompts
Reusable coaching workflows the client can invoke (they orchestrate the tools and reply in your language):
Prompt | Purpose |
| One day's snapshot |
| Calendar week (Mon–Sun): load vs recovery + advice |
| A month in review (YYYY-MM) |
| A year's fitness trajectory (YYYY) |
| Train hard today? From sleep + recovery markers |
| Sleep duration, stages, consistency |
Arguments are optional — they default to today / this week / this month / this year.
Development
uv sync
uv run pytest
uv run ruff checkLicense
MIT
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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- 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.184301MIT
- Alicense-qualityCmaintenanceLoads Apple Health export data into a local SQLite database and exposes tools to query health metrics and workout records via natural language.2MIT
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