WHOOP MCP Server for Poke
Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.
README
WHOOP MCP Server for Poke
Connect your WHOOP fitness data to Poke AI assistant using the Model Context Protocol (MCP).
🎯 What This Does
This MCP server lets you query your WHOOP fitness data through Poke AI assistant using natural language:
- "What's my recovery score today?" - Get your daily recovery metrics
- "How did I sleep last night?" - Analyze your sleep performance
- "Show me my strain data" - View workout strain and heart rate zones
- "What's my biological age?" - Check your WHOOP Age and healthspan metrics
✨ Features
- 🏃 5 WHOOP Data Tools: Overview, Sleep, Recovery, Strain, Healthspan
- 🔄 Automatic Token Refresh: Handles authentication seamlessly
- 🌐 Cloud Ready: Deploy to Render with one click
- 🤖 Poke Compatible: Works out of the box with Poke AI
🔑 What Makes This Different
This is a reverse-engineered implementation that directly interfaces with WHOOP's private API. No official SDK, no OAuth flows, no waiting for API approval. Perfect for developers who don't want to go through the hassle of WHOOP's official development program but still want programmatic access to their comprehensive fitness data.
🚀 Quick Start
Prerequisites
- Python 3.10 or higher
- WHOOP account with active subscription
- Poke account (for AI assistant integration)
- Render account (free tier works)
Option 1: Deploy to Render (Recommended)
-
Click the "Deploy to Render" button above
-
Configure your deployment:
- Name:
whoop-mcp-server(or your choice) - Branch:
main
- Name:
-
Set environment variables:
WHOOP_EMAIL: Your WHOOP account emailWHOOP_PASSWORD: Your WHOOP account password
-
Wait for deployment (~5-10 minutes)
-
Get your MCP URL:
https://your-service-name.onrender.com/mcp -
Connect to Poke:
- Go to https://poke.com/settings/connections/integrations/new
- Add your MCP URL
- Start asking questions!
Option 2: Run Locally
-
Clone the repository:
git clone https://github.com/kabirrgrover/whoop-mcp-poke.git cd whoop-mcp-poke -
Create virtual environment:
python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate -
Install dependencies:
pip install -r requirements.txt -
Configure environment:
cp .env.example .env # Edit .env with your WHOOP credentials -
Run the server:
python src/server.py -
Server runs at:
http://localhost:8000/mcp
🔧 Configuration
Environment Variables
| Variable | Required | Description |
|---|---|---|
WHOOP_EMAIL |
✅ Yes | Your WHOOP account email |
WHOOP_PASSWORD |
✅ Yes | Your WHOOP account password |
PORT |
❌ No | Server port (default: 8000, auto-set by Render) |
WHOOP Credentials
Get your WHOOP credentials:
- Sign up at https://www.whoop.com
- Ensure you have an active WHOOP subscription
- Use your login email and password
Security Note: Your credentials are stored securely in environment variables and never logged or exposed.
📱 Using with Poke
Connect to Poke
- Deploy your server to Render (or run locally with ngrok)
- Go to https://poke.com/settings/connections/integrations/new
- Add your MCP server URL
- Test the connection
Testing the Connection
After connecting to Poke, test with:
"Use the test_connection tool"
You should see: ✅ MCP Server is working! Connection successful.
Available Tools
1. Overview Data
Ask Poke: "What's my WHOOP data for today?"
Returns:
- Recovery score
- Day strain
- Sleep hours
- Calories burned
- HRV, RHR trends
- Today's activities
2. Sleep Analysis
Ask Poke: "How did I sleep last night?"
Returns:
- Sleep performance score
- Hours slept vs needed
- Sleep consistency
- Sleep efficiency
- Insights and recommendations
3. Recovery Metrics
Ask Poke: "What's my recovery score?"
Returns:
- Recovery score (0-100%)
- HRV with trends
- RHR with trends
- Respiratory rate
- Coach insights
4. Strain Tracking
Ask Poke: "Show me my strain data"
Returns:
- Strain score
- Heart rate zone distribution
- Strength activity time
- Steps
- Individual workouts
5. Healthspan
Ask Poke: "What's my biological age?"
Returns:
- WHOOP Age (biological age)
- Age comparison vs chronological
- Pace of aging
- Weekly trends
Example Conversation
User: What's my recovery score today?
Poke: [Calls whoop_get_recovery tool]
Response: Your recovery is 72% (Green - Ready to perform)
📊 Key Metrics:
• HRV: 65ms (↑ 8% vs baseline)
• RHR: 52bpm (↓ 3% vs baseline)
• Sleep Performance: 85%
💡 Coach Insight: "Your recovery is in the green. Your body
is ready for a high-intensity workout today."
User: Should I do a hard workout?
Poke: Based on your 72% recovery (green zone), yes! Your HRV
is trending up 8% and your RHR is down 3%, indicating your
body has recovered well. Your sleep was also strong at 85%.
This is a great day for high-intensity training.
🏗️ Architecture
Poke AI ←→ MCP Server (Render) ←→ WHOOP API
HTTPS/MCP HTTPS/AWS Cognito
Technology Stack
- FastMCP 2.0 - MCP server framework
- Python 3.10+ - Runtime
- httpx - Async HTTP client
- Render - Cloud hosting
- AWS Cognito - WHOOP authentication
🛠️ Development
Project Structure
whoop-mcp-poke/
├── src/
│ ├── server.py # FastMCP server
│ ├── whoop_client.py # WHOOP API client
│ ├── config.py # Configuration
│ └── tools/
│ └── whoop.py # Tool handlers
├── requirements.txt # Python dependencies
├── render.yaml # Render configuration
└── README.md # This file
Running Tests
Test your MCP server with the MCP Inspector:
# Start your server
python src/server.py
# In another terminal
npx @modelcontextprotocol/inspector
Open http://localhost:3000 and connect to http://localhost:8000/mcp using "HTTP" transport.
🔒 Security
- ✅ Credentials stored in environment variables only
- ✅ WHOOP tokens auto-refresh (24-hour lifetime)
- ✅ No credentials in code or logs
- ✅ HTTPS for all API calls
- ✅ AWS Cognito authentication
Best Practices:
- Never commit
.envfile - Use strong WHOOP password
- Rotate credentials if exposed
- Use Render's environment variable encryption
🐛 Troubleshooting
"Authentication failed" Error
Solution:
- Verify your WHOOP email and password in Render environment variables
- Try logging into https://app.whoop.com with the same credentials
- Ensure your WHOOP subscription is active
"Invalid MCP server URL" in Poke
Solution:
- Verify your URL is exactly:
https://your-service-name.onrender.com/mcp - Check that your Render service is running (green status)
- Test the endpoint in a browser - you should see JSON response
Deployment Timeout on Render
Solution:
- Check Render logs for specific errors
- Verify all environment variables are set
- Ensure
requirements.txthas all dependencies
Server responds but no data returned
Solution:
- Verify your WHOOP subscription is active
- Check you have recent WHOOP data (wear your strap!)
- Try querying data from a specific date: "What was my recovery on 2025-11-01?"
"No module named 'fastmcp'" Error
Solution:
- Verify
requirements.txthasfastmcp>=2.0.0 - On Render, trigger a manual deploy to reinstall dependencies
- Check Render logs for failed dependency installation
📚 Resources
Documentation
Related Projects
- Poke MCP Template - Official Poke template
- MCP Inspector - Tool for testing MCP servers
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
MIT License - feel free to use this for your own projects!
⭐ Acknowledgments
- Built with FastMCP 2.0
- Designed for Poke AI Assistant
💬 Support
If you have questions or issues:
- Check the Troubleshooting section above
- Open an issue on GitHub
- Review FastMCP documentation
- Check Poke's integration guide
🚀 Quick Links
- Use This Template: Click "Use this template" button above
- Report Issues: GitHub Issues
- Star on GitHub: Show your support! ⭐
Made with ❤️ for the WHOOP and Poke communities
This is an open-source project. Contributions, issues, and feature requests are welcome!
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.