Standalone WHOOP MCP server: OAuth2 client, syncs recovery/sleep/workouts/cycles to local Postgres, MCP tools over stdio
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add whoop-mcp -- uvx whoop-postgres-mcp{
"mcpServers": {
"whoop-mcp": {
"command": "uvx",
"args": ["whoop-postgres-mcp"],
"env": {
"WHOOP_CLIENT_SECRET": "<whoop_client_secret>",
"WHOOP_DB_URL": "<whoop_db_url>",
"WHOOP_TEST_DB_URL": "<whoop_test_db_url>",
"POSTGRES_PASSWORD": "<postgres_password>"
}
}
}
}WHOOP_CLIENT_SECRETWHOOP_DB_URLWHOOP_TEST_DB_URLPOSTGRES_PASSWORDMCP Servers overview
# whoop-mcp
<!-- mcp-name: io.github.cunicopia-dev/whoop-postgres-mcp -->




**An [MCP](https://modelcontextprotocol.io) server that syncs your WHOOP data
into Postgres and lets AI agents query it.**
WHOOP's public API is rate-limited, cursor-paginated, and returns one record
at a time. That is fine for a sync job and terrible for an agent that wants to
answer "how does my HRV this week compare to my baseline?". So this server
splits the job in two:
* a **sync** path that pulls cycles, recovery, sleep, workouts, and body
measurements from the WHOOP API into a documented Postgres schema, keeping
the raw JSON of every record alongside the typed columns;
* a **query** path of MCP tools that read Postgres only. They are fast, never
hit WHOOP's rate limits, and keep working offline once data is synced.
Your data lands in a database you own, in a schema you can read with any SQL
client, and nothing leaves your machine except calls to WHOOP itself.
> Python 3.12+ · MIT · stdio MCP server + CLI · Postgres storage
---
## Contents
- [Tools](#tools)
- [Install](#install)
- [Quickstart](#quickstart)
- [Configuration](#configuration)
- [Register with an MCP client](#register-with-an-mcp-client)
- [How sync works](#how-sync-works)
- [Security model](#security-model)
- [Development](#development)
- [Project layout](#project-layout)
- [License](#license)
---
## Tools
Two write-side tools talk to the WHOOP API; everything else reads Postgres only.
| Tool | Args | What it does |
| --- | --- | --- |
| `whoop_auth_url` | none | Returns the OAuth authorization URL to open in a browser. |
| `whoop_connect` | `code` | Exchanges the OAuth code for tokens, stores them, returns the connected user. |
| `whoop_sync` | `days=7`, `full=false` | Pulls data from WHOOP into Postgres. Returns per-collection counts and errors. |
| `whoop_status` | none | Per-collection sync health: last sync, watermark, row count, last error. |
| `whoop_overview` | `days=7` | Latest recovery and vitals vs. 30-day baseline, last night's sleep, recent workouts and strain. |
| `whoop_recovery` | `days=7`, `limit=50` | Recent recovery scores, resting HR, HRV, SpO2, skin temperature. |
| `whoop_sleep` | `days=7`, `limit=50` | Recent sleeps and naps with stage breakdown, need, performance, efficiency. |
| `whoop_workouts` | `days=14`, `limit=50` | Recent workouts with strain, HR, energy, distance, and zone minutes. |
| `whoop_cycles` | `days=7`, `limit=50` | Recent physiological cycles (WHOOP days) with day strain and HR. |
| `whoop_baseline` | none | 30-day mean and standard deviation per vital. |
`days` is capped at 365 and `limit` at 200. All tools return JSON text.
## Install
```bash
uv tool install whoop-postgres-mcp # or: pipx install whoop-postgres-mcp
```
Or run it without installing:
```bash
uvx whoop-postgres-mcp --help
```
You also need a Postgres database (any recent version; 14+ is fine) and a
WHOOP developer app. [docs/SETUP.md](docs/SETUP.md) walks through both.
## Quickstart
```bash
export WHOOP_CLIENT_ID=...
export WHOOP_CLIENT_SECRET=...
export WHOOP_REDIRECT_URI=http://localhost:8765/callback
export WHOOP_DB_URL=postgresql://whoop:whoop@localhost:5432/whoop
whoop-mcp init-db # create the `whoop` schema (idempotent)
whoop-mcp auth-url # print the URL to visit; approve access in a browser
whoop-mcp connect <code> # paste the `code` from the redirect URL
whoop-mcp sync --all # first backfill; later runs: whoop-mcp sync --days 7
whoop-mcp # serve MCP over stdio
```
The same flow is available as MCP tools (`whoop_auth_url`, `whoop_connect`,
`whoop_sync`) so an agent can drive the whole setup.
## Configuration
All configuration is by environment variable. The server validates every
variable at startup and exits with a message naming each missing one.
| Variable | Required | Meaning |
| --- | --- | --- |
| `WHOOP_CLIENT_ID` | yes | Client ID of your WHOOP developer app. |
| `WHOOP_CLIENT_SECRET` | yes | Client secret of your WHOOP developer app. |
| `WHOOP_REDIRECT_URI` | yes | Redirect URI, exactly as registered on the app. Any URL works; the server does not listen on it. You copy the `code` from the address bar. |
| `WHOOP_DB_URL` | yes | Postgres DSN, e.g. `postgresql://user:pass@host:5432/db`. Tokens and data live here. |
## Register with an MCP client
Claude Code:
```bash
claude mcp add whoop -e WHOOP_CLIENT_ID=... -e WHOOP_CLIENT_SECRET=... \
-e WHOOP_REDIRECT_URI=http://localhost:8765/callback \
-e WHOOP_DB_URL=postgresql://whoop:whoop@localhost:5432/whoop \
-- uvx whoop-postgres-mcp
```
Claude Desktop (`claude_desktop_config.json`) or any client that takes a
stdio command:
```json
{
"mcpServers": {
"whoop": {
"command": "uvx",
"args": ["whoop-postgres-mcp"],
"env": {
"WHOOP_CLIENT_ID": "...",
"WHOOP_CLIENT_SECRET": "...",
"WHOOP_REDIRECT_URI": "http://localhost:8765/callback",
"WHOOP_DB_URL": "postgresql://whoop:whoop@localhost:5432/whoop"
}
}
}
}
```
## How sync works
WHOOP's collection endpoints filter on when a record *occurred*, not when it
was last modified, and records change after creation (a sleep is created as
`PENDING_SCORE` and scored later). The sync therefore:
1. always re-fetches the last `days` days, which catches late re-scores;
2. tracks a per-collection watermark (`newest_updated_at` in
`whoop_sync_state`). If the last sync is older than `days`, the window is
stretched back to the watermark minus a two-day lookback so a gap never
leaves a hole;
3. upserts every record on its natural key (`id`, or `cycle_id` for recovery),
so overlapping windows are harmless and re-running is safe;
4. records per-collection errors in `whoop_sync_state` and carries on with the
other collections rather than aborting the run.
`full=true` (or `whoop-mcp sync --all`) drops the lower bound and walks the
account's entire history. Body measurements are a single current record and are
refreshed on every sync.
Token refresh is proactive (five minutes before expiry) and serialized through
a Postgres advisory lock, so the MCP server and a cron-driven `whoop-mcp sync`
can share one token row without racing.
The full data model is documented in [docs/SCHEMA.md](docs/SCHEMA.md).
## Security model
* **Database access is token access.** OAuth tokens are stored in plaintext in
`whoop.whoop_tokens`. Anyone who can read that table can call the WHOOP API
as you until the refresh token is revoked. Restrict database grants
accordingly and treat `WHOOP_DB_URL` as a secret.
* **Read tools never reach the network.** Only `whoop_connect` and `whoop_sync`
talk to WHOOP. Everything else is a SQL query against your database.
* **Nothing is written outside Postgres.** No files, no caches, no telemetry.
* **Scopes are read-only.** The app requests `read:*` scopes plus `offline` for
refresh tokens. It cannot modify anything in your WHOOP account.
* To revoke access, delete the row from `whoop_tokens` and remove the app from
your WHOOP account settings.
## Development
```bash
git clone https://github.com/cunicopia-dev/whoop-mcp
cd whoop-mcp
uv venv && source .venv/bin/activate
uv pip install -e ".[dev]"
ruff check .
mypy src
pytest # pure-logic tests
WHOOP_TEST_DB_URL=postgresql://whoop:whoop@localhost:5432/whoop pytest # + live DB tests
```
The live tests apply the schema and truncate every table in the target
database before each test. Point them at a scratch database.
A throwaway Postgres for local testing:
```bash
docker run -d --rm --name whoop-pg -e POSTGRES_USER=whoop -e POSTGRES_PASSWORD=whoop \
-e POSTGRES_DB=whoop -p 5432:5432 postgres:16-alpine
```
## Project layout
```
src/whoop_mcp/
config.py environment variables, validated at startup
auth.py OAuth2 flow, token persistence, locked refresh
client.py httpx client: pagination, backoff, Retry-After
schema.sql the Postgres DDL (applied by `whoop-mcp init-db`)
db.py connection + schema helpers
sync.py incremental sync with per-collection watermarks
queries.py read-side SQL behind the MCP tools
server.py MCP server over stdio + CLI entry point
docs/
SETUP.md WHOOP app registration, OAuth walkthrough, DB init, first sync
SCHEMA.md column-by-column data model
tests/ config, schema, client, auth, sync, and stdio protocol tests
```
## License
MIT. See [LICENSE](LICENSE).
What people ask about whoop-mcp
What is cunicopia-dev/whoop-mcp?
+
cunicopia-dev/whoop-mcp is mcp servers for the Claude AI ecosystem. Standalone WHOOP MCP server: OAuth2 client, syncs recovery/sleep/workouts/cycles to local Postgres, MCP tools over stdio It has 0 GitHub stars and its last recorded update is dated 2026-09-13.
How do I install whoop-mcp?
+
You can install whoop-mcp by cloning the repository (https://github.com/cunicopia-dev/whoop-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is cunicopia-dev/whoop-mcp safe to use?
+
Our security agent has analyzed cunicopia-dev/whoop-mcp and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains cunicopia-dev/whoop-mcp?
+
cunicopia-dev/whoop-mcp is maintained by cunicopia-dev. The last recorded GitHub activity is dated 2026-09-13, with 0 open issues.
Are there alternatives to whoop-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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