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Sync workouts and nutrition data through one MCP interface for analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "health-mcp" yet — see the docs or source repo.
Use health-mcp to sync my Hevy lifting workouts from the last 30 days and list the exercises, sets, and total reps by date.
A summary of recent workout records for review and tracking.
Use health-mcp to log today's intake: 200g chicken breast, 300g rice, and 250ml milk. Match them against the food catalog and show the logged entries.
The matched and logged food entries for confirmation.
Use health-mcp to run a read-only SQL query comparing weekly workout frequency and daily protein intake over the last 8 weeks, then provide a brief conclusion.
Query results with a short analysis showing the relationship between training and nutrition.
A fitness user or coach can sync Hevy lifting data into a personal health database and review it alongside nutrition logs. This is useful for weekly or monthly progress reviews.
People who want to examine how workout frequency, exercise patterns, and nutrition intake relate can use read-only SQL to cross-reference both datasets. This makes it easier to spot patterns between habits and outcomes.
Developers can connect this MCP tool to an AI agent so it can access workout and nutrition data through one interface and perform basic analysis. This reduces the complexity of handling multiple separate data sources.
It provides a unified MCP interface for a personal health database. Known capabilities include syncing Hevy lifting workouts, logging food intake against a catalog, and running read-only SQL queries across training and nutrition data.
Based on the given description, it supports three operations: syncing Hevy workout data, logging food intake, and running read-only SQL queries. For any additional data sources or write methods, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key details. Please see the source repository for prerequisites.
Securely access user fitness profiles, progress, and health logs via MCP tools.
Store personal health data locally for AI logging, retrieval, and analysis.
Read and update Hevy workouts, routines, templates, and body measurements.
Query and analyze Garmin and Hevy fitness records through natural language.
Connect AI to Hevy to manage workouts, routines, exercises, and user data.
Aggregate and query personal health data across sources with attribution.