Hevy MCP Server
VReippainen
README
Hevy MCP Server
A TypeScript Node.js server that connects your Hevy workout data to Language Models via Model Context Protocol (MCP). The server fetches data from the Hevy API and provides tools for accessing your workout history, exercise progress, and personal records.
What is MCP?
Model Context Protocol (MCP) is a standard that allows LLMs like Claude to integrate with external data sources and tools. This MCP server enables AI assistants to access and analyze your Hevy workout data.
Available Tools
This MCP server provides the following tools:
- get-workouts: Get workouts between start and end dates. Returns workouts in descending order of date with duration and volume stats. Max 10 workouts.
- get-exercise-progress-by-ids: Track progress for specific exercises over time, filtered by date range. Returns also records per reps.
- get-exercises: Get comprehensive exercise data sorted by frequency of use, with optional filtering by name and date range. Returns also actual and estimated 1RM.
- get-routines: Retrieve your saved workout routines
Obtaining Your Hevy API Key
To get your Hevy API key, visit the Hevy API Documentation and follow the authentication instructions. You'll need to sign up for API access through the Hevy developer portal.
Adding to Cursor
To add this MCP server to Cursor, update your ~/.cursor/mcp.json file with the following configuration:
"hevy-mcp-server": {
"command": "npx",
"args": ["-y", "@vreippainen/hevy-mcp-server", "--stdio"],
"env": {
"HEVY_API_KEY": "your-api-key-here"
}
}
Replace your-api-key-here with your actual Hevy API key.
Technical Documentation
For detailed technical information about installation, configuration, running the server, API endpoints, service methods, and project structure, see TECHNICAL.md.
Release Process
This project uses semantic-release for automated versioning and package publishing. We follow the Conventional Commits specification for commit messages.
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