whoop-mcp
MCP server that connects Whoop fitness data to Claude, enabling natural language queries about recovery, sleep, workouts, and more.
README
whoop-mcp
A Model Context Protocol (MCP) server that connects your Whoop fitness data to Claude. Ask natural language questions about your recovery, sleep, workouts, and more — directly in Claude chat.
What You Can Ask
- "What was my recovery score today?"
- "How did I sleep this week?"
- "Show me my HRV trend over the last 30 days"
- "Which workouts had the highest strain?"
- "Compare my sleep efficiency this month"
Available Tools
| Tool | Description |
|---|---|
get_profile |
Your name and email |
get_body_measurement |
Height, weight, max heart rate |
get_recovery |
Recovery %, HRV, resting heart rate, SpO2 |
get_sleep |
Duration, efficiency, sleep stages, disturbances |
get_workouts |
Strain, calories, sport type |
get_cycles |
Daily strain and total calories burned |
All data tools accept optional start and end date parameters and default to the last 30 days.
Setup
1. Prerequisites
Install uv:
curl -LsSf https://astral.sh/uv/install.sh | sh
Clone this repo to a path without spaces:
git clone https://github.com/your-username/whoop-mcp.git ~/whoop-mcp
cd ~/whoop-mcp
Install dependencies:
uv venv --python 3.12
uv pip install mcp httpx
2. Get Whoop API credentials
- Go to https://developer.whoop.com/
- Create a new app and fill in:
- Redirect URI:
http://localhost:8888/callback - Privacy Policy URL: your GitHub Pages URL (see Privacy Policy below)
- Redirect URI:
- Copy your Client ID and Client Secret
3. Authenticate (one time only)
WHOOP_CLIENT_ID=your_client_id \
WHOOP_CLIENT_SECRET=your_client_secret \
.venv/bin/python auth.py
This opens the Whoop authorization page in your browser. After you approve:
- Your browser will show an error on
localhost:8888— that's expected - Copy the full URL from the address bar and paste it into the terminal
- Tokens are saved to
~/.whoop_tokens.json
You will not need to do this again. The server automatically refreshes your token.
4. Configure the Claude Desktop App
Edit ~/Library/Application Support/Claude/claude_desktop_config.json and add:
{
"mcpServers": {
"whoop": {
"command": "/Users/your-username/whoop-mcp/.venv/bin/python",
"args": ["/Users/your-username/whoop-mcp/server.py"],
"env": {
"WHOOP_CLIENT_ID": "your_client_id",
"WHOOP_CLIENT_SECRET": "your_client_secret"
}
}
}
}
Important: The path to
whoop-mcpmust not contain spaces — this is why step 1 clones to~/whoop-mcp.
5. Restart Claude
Fully quit Claude (Cmd+Q) and reopen it. The Whoop server should show as connected under Settings → Developer.
Privacy Policy
privacy.html is a ready-to-host privacy policy page required by the Whoop developer portal.
Host it on GitHub Pages:
- Push this repo to GitHub
- Go to Settings → Pages → Source → Deploy from a branch → main / root
- Your privacy policy URL will be:
https://your-username.github.io/whoop-mcp/privacy.html
Webhooks (optional)
webhook_server.py receives real-time events from Whoop when new data is recorded.
WHOOP_CLIENT_SECRET=your_client_secret .venv/bin/python webhook_server.py
For local development, expose it with ngrok:
ngrok http 8080
# Register the https URL in the Whoop developer portal
Supported events: workout.updated, sleep.updated, recovery.updated, body_measurement.updated
Project Structure
whoop-mcp/
├── server.py # MCP server — tools Claude calls
├── whoop_client.py # Whoop API v2 client with auto token refresh
├── auth.py # One-time OAuth setup script
├── webhook_server.py # Real-time Whoop event receiver (optional)
├── privacy.html # Privacy policy page for GitHub Pages
└── requirements.txt # Python dependencies (mcp, httpx)
Notes
- Tokens are stored at
~/.whoop_tokens.jsonand auto-refreshed — you never need to re-runauth.pyunless you revoke access from the Whoop app - Uses the Whoop API v2
- Tested on macOS with Python 3.12
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。