Apple Health Mcp

io.github.davidmosiahPublished by GitHub account davidmosiahv0.5.0Updated Oct 24, 2026

Unofficial local-first MCP server for Apple Health export data.

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Overview

AI-generated overview

Local MCP server that reads an Apple Health export file and lets an assistant summarize activity, sleep, heart, HRV and workout data.

What you can do
Check connection status, capabilities, agent manifest and privacy audit, and inventory available record types and date coverage from the export file, plus re-scan a watch folder to promote the newest export and refresh summaries.
When to use it
Use it when you want an assistant to reason about your own Apple Health history — daily or weekly wellness briefs, habit and trend comparisons across steps, sleep, heart signals and workouts — without copying numbers out of the Health app. It reads exports only, so it is not for live HealthKit data.
Requirements
Node.js 20 or later, run locally via npx. An Apple Health export from the iPhone (export.xml, the unzipped folder, or export.zip) pointed to by APPLE_HEALTH_EXPORT_PATH. Optional APPLE_HEALTH_PRIVACY_MODE (defaults to summary), APPLE_HEALTH_TIMEZONE, and APPLE_HEALTH_WATCH_PATH for a drop folder. No account, token or OAuth.
Before you install
Apple Health exports are highly sensitive personal health data; keep them local and never commit or paste them. The export path is read-only, but the server reads the whole file for summary aggregates, which can take seconds to tens of seconds on large exports. Raw record dumps are opt-in via APPLE_HEALTH_PRIVACY_MODE. It is unofficial, not affiliated with Apple, and not a medical device or advice.

Installation

In SourceWeft

  1. Open Apple Health Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Apple Health MCP

Give your AI agent your Apple Health activity, sleep, HRV and workouts — from your local export.zip.
Local-first MCP server — tokens never leave your machine.

[npm version] [npm downloads] [License MIT] [Site]

[GitHub stars] [Built for MCP] [Hermes one-command setup] [Apple Health]

⚡ One-command install with Delx Wellness for Hermes: npx -y delx-wellness-hermes setup — preconfigures this connector and the other 8 in a dedicated Hermes profile.

Or wire it standalone into Claude Desktop / Cursor / ChatGPT Desktop — see the install section below.


HTTP (v2 stateless)

Default is stdio. Optional Streamable HTTP — no session id, JSON responses, loopback only:

bash
npx -y [email protected] --http# GET  http://127.0.0.1:3000/health# POST http://127.0.0.1:3000/mcp   (sessionless)

Env: APPLE_HEALTH_MCP_HOST, APPLE_HEALTH_MCP_PORT, APPLE_HEALTH_MCP_TRANSPORT=http.

Local-first MCP server that reads your Apple Health export and exposes it to AI agents.

Unofficial project. Not affiliated with, endorsed by or supported by Apple Inc. Apple Health is a trademark of Apple Inc. This package reads exports you generate yourself from the Apple Health app.

No live HealthKit access. This connector reads export.xml / export.zip files exported from your iPhone. A native iOS HealthKit bridge is a separate future component.

Built by David Mosiah for people who use Claude, Cursor, Hermes, OpenClaw or other MCP-compatible agents to think about long-term health and activity trends — without copy-pasting numbers from the Health app.

Part of Delx Wellness, a registry of local-first wellness MCP connectors.

If this connector helps your agent workflow, please star the repo. Stars make the project easier for other AI builders to discover and help Delx keep shipping local-first wellness infrastructure.

Why this exists

Apple Health is the most complete personal health dataset most people own — years of activity, heart rate, sleep, workouts, body measurements, even ECGs. But Apple does not expose a public cloud API. The data lives on the iPhone behind HealthKit, and the only practical way to bring it off-device today is the Health Export feature inside the Health app.

This package reads that export locally — either the raw export.xml, the unzipped folder, or the export.zip — and exposes Apple Health through the Model Context Protocol. No tokens, no OAuth, no cloud sync. The export never leaves your machine.

Setup in 60 seconds

1. Export your Apple Health data on iPhone:

text
Health app → tap your profile picture → Export All Health Data

Wait a few minutes. AirDrop or transfer the zip to this machine.

2. Configure and verify:

bash
npx -y [email protected] setup --export-path /path/to/export.zipnpx -y [email protected] doctor

Or let the CLI find the newest local export in Downloads, Desktop or Documents, copy it into managed local storage, and save that path:

bash
npx -y [email protected] setup --auto-import

Supported export paths:

  • /path/to/export.zip
  • /path/to/apple_health_export/ (unzipped folder)
  • /path/to/export.xml (raw export file)

Keep it fresh — watch a folder (no macOS needed):

Apple Health is a manual export, so the usual pain is that your data goes stale the moment you stop re-running setup. Point the connector at a folder you drop new exports into:

bash
npx -y [email protected] setup --watch-path /path/to/health-exports

Now every time you export from your iPhone and drop the new export.zip (or export.xml, or unzipped apple_health_export/) into that folder, the connector auto-promotes the newest one to be the active export — on server startup and live while it runs — and refreshes the cached summaries. You can also trigger a re-scan on demand with the apple_health_reimport tool. This is the cross-platform recurring-refresh path; a fully live HealthKit bridge still needs a native macOS/iOS component.

Then add this to your MCP client config:

json
{  "mcpServers": {    "apple_health": {      "command": "npx",      "args": ["-y", "[email protected]"]    }  }}

For Claude Desktop, run setup --client claude --export-path /path/to/export.zip and the snippet is written for you.

Try it with your agent

Three things to ask first:

text
Use apple_health_connection_status to check setup, then run apple_health_daily_summary.Give me a 5-line wellness brief for today.
text
Call apple_health_data_inventory first. What Apple Health signals and date rangesare available in this export?
text
Call apple_health_weekly_summary with response_format=json. Compare steps,sleep, workouts and heart signals across the last 7 days.
text
Use the apple_health_weekly_review prompt, days=14.Find the biggest habit pattern and suggest one experiment.

Data availability

This package parses Apple Health exports from the Health app. When this README says raw, it means the upstream XML record fields — not raw HealthKit data.

DataAvailableNotes
Activity (steps, distance, energy, exercise)✓Standard HKQuantityType records
Heart rate (resting + samples)✓Recorded HR samples and resting HR
Sleep analysis + sleep stages✓When iPhone/Watch logs sleep
Workouts + sport metadata✓All HKWorkout entries
Body measurements (weight, BMI, body fat)✓When the user logs them
HRV (SDNN) + breathing rate✓When Watch supports them
ECG records✓ (metadata)Apple Watch ECG events; raw waveform requires PDF export
Live HealthKit access—Apple does not expose a public live API
iCloud Health sync—Not exposed by export files

Tools

Start with these:

  • apple_health_connection_status — verify export path before reading data
  • apple_health_data_inventory — discover available record types, date coverage, sources count and stale export risk
  • apple_health_daily_summary — daily wellness brief from export data
  • apple_health_weekly_summary — weekly comparison and habit signals

Diagnostics

  • apple_health_capabilities, apple_health_agent_manifest, apple_health_privacy_audit

Records

  • apple_health_list_records — bounded records by type (e.g. HKQuantityTypeIdentifierStepCount), start, end, limit. limit caps the returned list only: in the default summary privacy mode the aggregate block (count_by_type, units, date_range, numeric) is computed over every record matching the filter, and truncated / limit_applied / matched_count tell you whether the list itself was cut. The statistics live under numeric (numeric.min / numeric.max / numeric.sum / numeric.average / numeric.count), not at the top of aggregate — see What a payload looks like
  • apple_health_list_workouts — bounded workouts by start, end, limit. Same contract: limit caps the returned list only, and in summary privacy mode the aggregate totals (count_by_activity, date_range, total_duration_minutes, total_distance, distance_units, total_energy_kcal, workout_count) cover every workout matching the filter, with truncated / limit_applied / matched_count reporting whether the list was cut

Keeping data fresh

  • apple_health_reimport — re-scan the watch folder (APPLE_HEALTH_WATCH_PATH) and promote the newest export, refreshing summaries; pass check_only: true to preview without promoting

What a list call costs

limit bounds the output, not the work. In the default summary privacy mode the aggregate has to describe every matching record, so the scan cannot stop at the cap — it streams export.xml to the end. Narrowing with type, start or end does not shorten it: a match could still sit in the last byte, so the file is read in full either way.

Measured on synthetic exports (Node 23, macOS, warm page cache), for one apple_health_list_records call in summary mode:

export.xmlfirst call, summary modesame call repeatedsame call, privacy_mode: "raw"
84 MB (353k records)~3.0 s<1 ms~1 ms
336 MB (1.4M records)~11.3 s<1 ms~2 ms

Roughly 33 ms per MB, linear in file size. A cold first read of a large export — before the OS has the file cached — costs noticeably more (~29 s was observed for 336 MB).

Practical guidance:

  • Identical repeat queries are free. Results are memoized in memory per export file, keyed on path + size + mtime. Promoting a new export (or apple_health_reimport) invalidates them, so a stale export is never served.
  • apple_health_daily_summary, apple_health_weekly_summary and apple_health_data_inventory share a separate snapshot cache and were already paying one full parse; they are not affected by this.
  • Need a quick page rather than statistics? privacy_mode: "structured" or "raw" stops the scan at limit and returns in about a millisecond — at the cost of returning individual records instead of an aggregate.
  • apple_health_list_workouts reaches the end of the file in every mode, because workouts are sparse: an export rarely holds enough Workout elements to fill even the default page of 50.
  • incremental_cache: true is never memoized — it advances a persistent per-category cursor, so each call must actually run.

What a payload looks like

Synthetic values, real shape. npm run test:readme-contract calls the actual server against the repo fixture and fails if any key below stops existing — or if the server starts returning a key this section does not show.

json
{  "source": "apple_health_export",  "type": "HKQuantityTypeIdentifierHeartRate",  "privacy_mode": "summary",  "count": 50,  "limit_applied": 50,  "truncated": true,  "matched_count": 2847,  "records": [],  "aggregate": {    "count_by_type": { "HKQuantityTypeIdentifierHeartRate": 2847 },    "units": ["count/min"],    "date_range": {      "first": "2026-04-01T03:12:00.000Z",      "last": "2026-04-30T23:41:00.000Z",      "first_date": "2026-04-01",      "last_date": "2026-04-30"    },    "numeric": { "count": 2847, "sum": 202137, "average": 71, "min": 48, "max": 174 }  },  "aggregate_scope": "all_matching_records",  "disclosure": "summary_mode_omits_individual_records_aggregate_covers_all_matching_records"}

records is empty in summary mode by design — the aggregate replaces the individual samples. count still reports how many records the scan paged in; matched_count is the full match set the aggregate covers.

json
{  "source": "apple_health_export",  "privacy_mode": "summary",  "count": 12,  "limit_applied": 50,  "truncated": false,  "matched_count": 12,  "workouts": [],  "aggregate": {    "count_by_activity": {      "HKWorkoutActivityTypeRunning": 8,      "HKWorkoutActivityTypeTraditionalStrengthTraining": 4    },    "date_range": {      "first": "2026-04-02T21:10:00.000Z",      "last": "2026-04-29T22:05:00.000Z",      "first_date": "2026-04-02",      "last_date": "2026-04-29"    },    "total_duration_minutes": 486.5,    "total_distance": 62.4,    "distance_units": ["km"],    "total_energy_kcal": 5820,    "workout_count": 12  },  "aggregate_scope": "all_matching_workouts",  "disclosure": "summary_mode_omits_individual_workouts_aggregate_covers_all_matching_workouts"}

Prompts

  • apple_health_daily_review — daily wellness review with non-medical framing
  • apple_health_weekly_review — weekly habit signals and trend comparison

Resources

  • apple-health://capabilities, apple-health://agent-manifest
  • apple-health://inventory, apple-health://summary/daily, apple-health://summary/weekly

Privacy & security

  • Apple Health exports are highly sensitive personal health data. Keep them local.
  • Never commit export.xml / export.zip to GitHub, paste raw exports into chat, or upload them to issues.
  • The export path is read-only; the MCP never modifies your export.
  • APPLE_HEALTH_PRIVACY_MODE defaults to summary for this connector (more conservative than other Delx Wellness connectors) since the dataset is rich and sensitive. In summary mode, low-level list tools return aggregates instead of individual records. Raw record dumps are opt-in.
  • This is not medical advice. The server exposes data you exported yourself for personal AI workflows, not diagnosis or emergency monitoring.

Configuration

bash
APPLE_HEALTH_EXPORT_PATH=/path/to/export.zip   # or export.xml or apple_health_export/APPLE_HEALTH_PRIVACY_MODE=summary              # summary | structured | rawAPPLE_HEALTH_TIMEZONE=America/Fortaleza        # local-day summaries; defaults to UTC unless setup saves a timezoneAPPLE_HEALTH_WATCH_PATH=/path/to/health-exports # optional: auto-reimport the newest export dropped here

setup writes these settings into ~/.apple-health-mcp/config.json with 0600 permissions.

setup --auto-import scans common local folders for the newest Apple Health export and copies it to ~/.apple-health-mcp/exports/ with 0600 permissions. This automates the local import step after you transfer the export from the iPhone. Fully live HealthKit sync still requires a separate native bridge; this Node MCP intentionally reads local exports only.

setup --watch-path <dir> (or APPLE_HEALTH_WATCH_PATH) makes the connector treat a folder as a drop zone. On startup, while running (via filesystem events), and whenever the apple_health_reimport tool is called, it promotes the newest Apple Health export found there — export.xml, export.zip, an apple_health_export/ directory, or any *apple*health*.zip — to be the active export and clears the snapshot + incremental caches so the next summary reflects the new data. apple_health_connection_status reports the watch folder state and warns when a newer export is waiting.

Hermes / remote setup

bash
npx -y [email protected] setup --client hermes --export-path /path/to/export.zipnpx -y [email protected] doctor --client hermeshermes mcp test apple_health

After Hermes config changes, use /reload-mcp or hermes mcp test apple_health. Don't restart the gateway for normal export access.

If the Hermes server runs on a different machine than your iPhone, transfer the export there and point --export-path at it. The export file should be chmod 600.

Requirements

  • Node.js 20+
  • An Apple Health export from your iPhone (Health app → profile → Export All Health Data)

Development

bash
git clone https://github.com/davidmosiah/apple-health-mcp.gitcd apple-health-mcpnpm installnpm testnpm run build

Test with MCP Inspector:

bash
npx @modelcontextprotocol/inspector node dist/index.js

Optional local HTTP transport:

bash
APPLE_HEALTH_MCP_TRANSPORT=http APPLE_HEALTH_MCP_PORT=3000 node dist/index.jscurl http://127.0.0.1:3000/health

Links

See also

The full Delx Wellness connector library:

One-command setup for Hermes — preconfigures every connector above plus wellness skills + onboarding: delx-wellness-hermes.

📧 Contact & Support

License

MIT — see LICENSE.

Disclaimer

This software is provided as-is. It is not a medical device, does not provide medical advice, and should not be used for diagnosis, treatment or emergency monitoring. Always consult qualified professionals for medical concerns.

Skill or MCP

Same package, two doors. MCP registers tools on stdio/HTTP. The skill can drive the same tools through the CLI when the client has no MCP:

bash
npx -y [email protected] call apple_health_connection_status --json '{}'

Copy skill/SKILL.md into your agent skills dir.

0.8.0 — candidate (2026-11-02)

This is a release candidate, not evidence of an npm publication. Existing installations are not updated automatically.

Migration and security boundaries

  • HTTP transport accepts loopback only. LAN addresses and wildcard binds are rejected; use stdio or a local loopback client instead.
  • Wellness profiles are validated, limited to 256 KiB, and protected with a cooperative lock. Oversized or invalid existing profiles must be corrected before use. Symbolic links, including dangling links and legacy profile paths, are rejected. These checks do not guarantee safety against a hostile local filesystem or non-cooperating processes.
  • MCP inputs have a 10,000-element budget and HTTP bodies are limited to 1 MiB; compressed request bodies are rejected. Previously accepted oversized requests may now fail; reduce request sizes rather than disabling validation.
  • Dependency fixes are included. Upgrade explicitly after publication and restart the connector; old installations retain their previous behavior.

Source: README.md at commit 161e1f8

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.5.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

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  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts