WHOOP MCP
概览
作者提供的说明(英文原文)
Sync WHOOP recovery, sleep, strain, and workouts into Postgres and query them from any MCP client.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新↓ 16/周 · ★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 在你的电脑上运行
- 传输方式: stdio
- 分类: 数据库与数据集
- 你需要填写:WHOOP_CLIENT_ID, WHOOP_CLIENT_SECRET, WHOOP_REDIRECT_URI, WHOOP_DB_URL
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:1 项中通过 1 项
- 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
- 需要你自己填写:
WHOOP_CLIENT_ID,WHOOP_CLIENT_SECRET,WHOOP_REDIRECT_URI,WHOOP_DB_URL
标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
- PyPI已安装 Python 的 uv(用于 uvx 命令)
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"whoop-postgres": {
"command": "uvx",
"args": [
"whoop-postgres-mcp"
],
"env": {
"WHOOP_CLIENT_ID": "your-value",
"WHOOP_CLIENT_SECRET": "your-value",
"WHOOP_REDIRECT_URI": "your-value",
"WHOOP_DB_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add whoop-postgres --env WHOOP_CLIENT_ID=your-value --env WHOOP_CLIENT_SECRET=your-value --env WHOOP_REDIRECT_URI=your-value --env WHOOP_DB_URL=your-value -- uvx whoop-postgres-mcp运行前请先填写空着的值。
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"whoop-postgres": {
"command": "uvx",
"args": [
"whoop-postgres-mcp"
],
"env": {
"WHOOP_CLIENT_ID": "your-value",
"WHOOP_CLIENT_SECRET": "your-value",
"WHOOP_REDIRECT_URI": "your-value",
"WHOOP_DB_URL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"whoop-postgres": {
"type": "stdio",
"command": "uvx",
"args": [
"whoop-postgres-mcp"
],
"env": {
"WHOOP_CLIENT_ID": "your-value",
"WHOOP_CLIENT_SECRET": "your-value",
"WHOOP_REDIRECT_URI": "your-value",
"WHOOP_DB_URL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
需要你填写的值
- Client ID of your WHOOP developer app (developer.whoop.com).
- Client secret of your WHOOP developer app.
- OAuth redirect URI, exactly as registered on the WHOOP app (e.g. http://localhost:8765/callback).
- Postgres DSN the server syncs into and reads from (e.g. postgresql://user:pass@localhost:5432/whoop). Tokens are stored in this database.
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 cunicopia-dev 验证,该账户拥有此仓库
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- – 不适用
端点有响应
它在你的电脑上运行,没有互联网端点
- – 不适用
使用 OAuth 登录
在你的电脑上运行,改用本地设置
- … 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与“数据库与数据集”中的其他服务器比较i
- 星标数多于此分类中其他 1151 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 1151 个服务器的 35% 更新
- 基础检查结果等于或优于此分类中其他 1151 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
WHOOP MCP 安全吗?
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
你需要填写:WHOOP_CLIENT_ID, WHOOP_CLIENT_SECRET, WHOOP_REDIRECT_URI, WHOOP_DB_URL
它在我的电脑上运行还是在云端?
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(0.1.0)于2个月前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
有什么可以替代它?
同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
whoop-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
- Install
- Quickstart
- Configuration
- Register with an MCP client
- How sync works
- Security model
- Development
- Project layout
- 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
uv tool install whoop-postgres-mcp # or: pipx install whoop-postgres-mcp
Or run it without installing:
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 walks through both.
Quickstart
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 # 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:
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:
{
"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:
- always re-fetches the last
daysdays, which catches late re-scores; - tracks a per-collection watermark (
newest_updated_atinwhoop_sync_state). If the last sync is older thandays, the window is stretched back to the watermark minus a two-day lookback so a gap never leaves a hole; - upserts every record on its natural key (
id, orcycle_idfor recovery), so overlapping windows are harmless and re-running is safe; - records per-collection errors in
whoop_sync_stateand 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.
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 treatWHOOP_DB_URLas a secret. - Read tools never reach the network. Only
whoop_connectandwhoop_synctalk 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 plusofflinefor refresh tokens. It cannot modify anything in your WHOOP account. - To revoke access, delete the row from
whoop_tokensand remove the app from your WHOOP account settings.
Development
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:
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.