WHOOP for Poke
Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.
What is WHOOP for Poke?
WHOOP for Poke is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to connects whoop fitness data to poke ai assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.
Connects WHOOP fitness data to Poke AI assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Connects WHOOP fitness data to Poke AI assistant, enabling n
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx whoop-mcp-server-for-pokeConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about WHOOP for Poke
What is WHOOP for Poke?
WHOOP for Poke is a Model Context Protocol (MCP) server that connects whoop fitness data to poke ai assistant, enabling natural language queries for recovery scores, sleep analysis, strain tracking, and healthspan metrics. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install WHOOP for Poke?
Follow the installation instructions on the WHOOP for Poke GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with WHOOP for Poke?
WHOOP for Poke works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is WHOOP for Poke free to use?
Yes, WHOOP for Poke is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up WHOOP for Poke in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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