Heavenly Health Protocol

Connect your health data — Apple Watch, Fitbit, Garmin, and more — to your AI agent. Privately, on your own computer, with your own storage.

Your agent (Claude, ChatGPT, Codex, Hermes, OpenClaw, …) gets bounded access to exactly the metrics you allow. Your credentials and raw health records never leave your control.

Get started

Requirements: Python 3.10+ and uv.

git clone https://github.com/obirimensah05/heavenly-health-protocol.git
cd heavenly-health-protocol
uv sync
uv tool install .
heavenly setup

heavenly setup walks you through everything. There is nothing to configure first, no Docker, and no jargon.

Related MCP server: Google Health MCP

The onboarding questions

Setup is a short guided conversation. These are the questions, in order:

1. Which fitness or health device do you use? Apple Watch / iPhone · Fitbit / Pixel Watch · Garmin · WHOOP · Oura Ring · other Android wearables

2. Which app is your health data's source of truth? Apple Health · Google Health API · Garmin Connect · WHOOP · Oura · Health Connect

3. Where should your agent-readable health data live? Your own free Supabase project works today; Obsidian, local SQLite, Google Drive, and iCloud Drive are on the roadmap.

4. Which AI agent should read it — and where does it run? Claude Code, Claude, ChatGPT, Codex, Hermes, OpenClaw, Perplexity, or any other compatible agent, on this computer or in the cloud.

5. When should your health analysis arrive? Daily, every 3 days, or weekly · morning or evening · your timezone is detected automatically.

6. Which metrics may it track? A minimal allowlist you approve. Clinical records, medication, reproductive data, ECG, and location stay off by default.

7. Start and connect. Heavenly starts on your computer and shows the one-line connection step for your agent.

That's it. Advanced extras — the Docker runtime, remote access for cloud agents, the agent sandbox — are offered at the very end, default to off, and most people never need them.

What works today

Choosing a planned source still completes onboarding — your choice is recorded and nothing has to be redone when its adapter ships.

Signing in to WHOOP or Oura

Both take about two minutes and follow the same pattern:

1. Create a (free) developer app on the provider's site — WHOOP or Oura — and note its client ID, client secret, and the redirect URL you register.

2. Put those four lines in an owner-only env file (~/.config/heavenly/whoop.env or oura.env — exact keys in docs/providers).

3. Sign in with your normal account:

heavenly provider whoop import-client ~/.config/heavenly/whoop.env
heavenly provider whoop connect     # browser opens; paste the redirected URL back
heavenly provider whoop sync

(Swap whoop for oura for an Oura Ring.) Your sign-in tokens are stored in the operating-system credential vault — never in files, your notes, or Git.

How it stays private

• Runs on your computer and listens only on localhost by default.

• Health data lives in storage you own; keys stay in an owner-only local file and the operating-system credential vault.

• Your agent sees a bounded, metric-allowlisted read surface — never raw provider payloads, credentials, or arbitrary SQL.

• Any write to your health data needs your explicit approval in the terminal. An agent can never approve its own writes.

Details: SECURITY.md and the security design.

For technical operators (optional)

Everything below is opt-in and never required for the normal path above:

• Remote access for cloud agents through Cloudflare Managed OAuth — Deployment

• Hardened Docker runtime — Deployment

• Generic CLI-agent sandbox — Agent sandbox

• Architecture and MCP tool policy — Architecture, MCP tool policy

• Provider onboarding contracts — Providers

Development

uv sync --extra dev
uv run ruff check src tests
uv run pyright src
uv run --extra dev pytest

The release process exports only a validated tracked-file manifest into a fresh Git history. Local .env, credential, log, and state files are excluded and rejected by the public-release guard.

License

MIT.