Whoop MCP
Local MCP server that exposes Whoop recovery, sleep, and strain data to AI agents
Whoop MCP Server
MCP server that exposes your Whoop fitness data (recovery, sleep, strain, workouts) to Claude for use as a daily training coach.
Prerequisites
- Python 3.10+
- A Whoop Developer account with a registered application
- Your Whoop app's Client ID and Client Secret
Whoop Developer Dashboard Setup
- Go to developer.whoop.com and sign in
- Create a new application
- Set the Redirect URI to:
http://localhost:8080/callback - Enable these scopes:
read:recovery,read:cycles,read:sleep,read:profile,read:body_measurement- Note:
read:workoutandofflinemay not be available on all developer apps. The server handles missing scopes gracefully.
- Note:
- Note your Client ID and Client Secret
Installation
cd whoop-mcp
pip install -r requirements.txt
Authorization (One-Time Setup)
Export your app credentials and run the setup script:
export WHOOP_CLIENT_ID="your-client-id"
export WHOOP_CLIENT_SECRET="your-client-secret"
python scripts/setup_auth.py
This opens a browser to Whoop's authorization page. After you approve, tokens are encrypted and stored at ~/.whoop_mcp/. If the offline scope was granted, tokens refresh automatically. Otherwise, re-run this script when the token expires.
Claude Desktop / Cowork MCP Config
Add this to your Claude MCP configuration:
{
"mcpServers": {
"whoop": {
"command": "python",
"args": ["/absolute/path/to/whoop-mcp/src/whoop_server.py"],
"env": {
"WHOOP_CLIENT_ID": "your-client-id",
"WHOOP_CLIENT_SECRET": "your-client-secret"
}
}
}
}
Replace /absolute/path/to/whoop-mcp with the actual path on your machine.
Available Tools
| Tool | Description |
|---|---|
whoop_check_auth | Verify tokens are valid and not expired |
whoop_get_latest_recovery | Most recent recovery score, HRV, resting HR, SpO2 |
whoop_get_recovery_range | Recovery data for a date range |
whoop_get_latest_sleep | Last sleep session with stage breakdown |
whoop_get_sleep_range | Sleep data for a date range |
whoop_get_latest_strain | Current cycle strain, avg/max HR, kilojoules |
whoop_get_strain_range | Strain over past N days with average |
whoop_get_workouts | Workouts with sport ID, strain, HR zones |
whoop_get_profile | User profile and body measurements |
whoop_get_training_summary | Aggregated coaching snapshot (start here) |
Example Prompts
Once connected, you can ask Claude things like:
- "What was my recovery yesterday?"
- "How much strain did I accumulate last week?"
- "Am I trending toward overtraining?"
- "How has my HRV changed over the past two weeks?"
- "What were my sleep stages last night?"
- "Compare my strain to my recovery over the past 7 days."
- "Should I do a hard workout today?"
Training Coach Workflow
Start each session by calling whoop_get_training_summary for an overview of recovery status, recent strain load, sleep quality, and a training readiness assessment.
Token Storage
Tokens are stored encrypted at ~/.whoop_mcp/:
.encryption_key— Fernet encryption key (chmod 600)tokens.enc— Encrypted OAuth tokens (chmod 600)- Directory permissions: chmod 700
If token refresh fails, re-run python scripts/setup_auth.py.
Related Servers
ActiveCampaign
Built for the next generation of intelligent experiences, ActiveCampaign's remote MCP server makes it easy for AI agents to understand, store, and use customer context across tools, channels, and workflows.
Phabricator
Interact with Phabricator for task management and code review workflows.
2slides
This is the 1st, easiest, and cheapest PPT, slides, presentation AI generation MCP Server in the world.
Jira
Interact with Jira to manage issues, projects, and workflows using the Jira Cloud Platform REST API.
Miro
Miro MCP server, exposing all functionalities available in official Miro SDK.
macOS Automator
Run AppleScript and JXA scripts to automate tasks on macOS.
cal2prompt
A command-line tool to fetch Google Calendar schedules and convert them into custom prompts or text snippets using a template engine.
Taiga MCP Bridge
Interact with the Taiga project management platform through an MCP bridge, allowing AI tools to manage project resources.
Feishu/Lark OpenAPI
Connects AI agents to the Feishu/Lark platform for automating tasks like document processing, conversation management, and calendar scheduling.
MCP Educational Tutor
An intelligent tutoring server that uses GitHub documentation repositories to provide structured educational prompts and tools.