rajanshxrma/cadence

Overview

A local-first health-context engine that aggregates data from WHOOP and Apple Health into a single local store. It exposes this data to Claude through the Model Context Protocol (MCP) and a simple command-line interface.

Best for

Best for
Developers building personal health dashboards or AI assistants that need local health context

Use cases

• Consolidate WHOOP and Apple Health metrics into one local dataset
• Provide health context to Claude via MCP for personalized analysis
• Query health data quickly through a brief command-line tool

Notes

A local-first health-context engine that aggregates data from WHOOP and Apple Health into a single local store. It exposes this data to Claude through the Model Context Protocol (MCP) and a simple command-line interface.

1 stars on GitHub. Last updated 2026-08-06. Licensed MIT.

Use cases

• Consolidate WHOOP and Apple Health metrics into one local dataset
• Provide health context to Claude via MCP for personalized analysis
• Query health data quickly through a brief command-line tool

Pros

• Local-first design keeps health data on your machine
• Combines two major health sources into one unified store
• Integrates with Claude via MCP for AI-driven insights

Cons

• Very early stage with minimal adoption (1 star)
• Limited to WHOOP and Apple Health sources only
• Requires manual setup and local infrastructure

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.