Provides a unified MCP interface to a personal health database, enabling AI agents to sync lifting workouts from Hevy, log food intake against a catalog, and run read-only SQL queries to cross-reference training and nutrition data.
A local-first MCP server that stores nutrition, biomarker, and wearable data in SQLite and exposes it as Model Context Protocol tools, enabling MCP-aware agents to log meals, query trends, and run correlations.
Provides access to Ultrahuman health and fitness data through standardized MCP tools, enabling AI assistants to retrieve metrics like sleep, movement, heart rate, and glucose.
A personal health and fitness MCP server that provides tools for managing profile data, goals, body measurements, nutrition, workouts, sleep, check-ins, life events, analytics, and coach memories via Supabase Postgres.