hevy-mcp: Model Context Protocol Server for Hevy Fitness API
A Model Context Protocol (MCP) server implementation that interfaces with the Hevy fitness tracking app and its API. This server enables AI assistants to access and manage workout data, routines, exercise templates, and more through the Hevy API (requires PRO subscription).
Features
- Workout Management: Fetch, create, and update workouts
- Routine Management: Access and manage workout routines
- Exercise Templates: Browse available exercise templates
- Folder Organization: Manage routine folders
Prerequisites
- Node.js (v20 or higher)
- npm or yarn
- A Hevy API key
Installation
Installing via Smithery
To install hevy-mcp for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @chrisdoc/hevy-mcp --client claude
Manual Installation
# Clone the repository
git clone https://github.com/chrisdoc/hevy-mcp.git
cd hevy-mcp
# Install dependencies
npm install
# Create .env file from sample
cp .env.sample .env
# Edit .env and add your Hevy API key
Integration with Cursor
To use this MCP server with Cursor, you need to update your ~/.cursor/mcp.json
file by adding the following configuration:
{
"hevy-mcp-server": {
"command": "npx",
"args": ["-y", "hevy-mcp"],
"env": {
"HEVY_API_KEY": "your-api-key-here"
}
}
}
Make sure to replace your-api-key-here
with your actual Hevy API key.
Configuration
Create a .env
file in the project root with the following content:
HEVY_API_KEY=your_hevy_api_key_here
Replace your_hevy_api_key_here
with your actual Hevy API key.
Usage
Development
npm run dev
This starts the MCP server in development mode with hot reloading.
Production
npm run build
npm start
Available MCP Tools
The server implements the following MCP tools:
Workout Tools
get-workouts
: Fetch and format workout dataget-workout
: Get a single workout by IDcreate-workout
: Create a new workoutupdate-workout
: Update an existing workoutget-workout-count
: Get the total count of workoutsget-workout-events
: Get workout update/delete events
Routine Tools
get-routines
: Fetch and format routine datacreate-routine
: Create a new routineupdate-routine
: Update an existing routineget-routine
: Get a single routine by ID
Exercise Template Tools
get-exercise-templates
: Fetch exercise templatesget-exercise-template
: Get a template by ID
Routine Folder Tools
get-routine-folders
: Fetch routine folderscreate-routine-folder
: Create a new folderget-routine-folder
: Get a folder by ID
Project Structure
hevy-mcp/
├── .env # Environment variables (API keys)
├── src/
│ ├── index.ts # Main entry point
│ ├── tools/ # Directory for MCP tool implementations
│ │ ├── workouts.ts # Workout-related tools
│ │ ├── routines.ts # Routine-related tools
│ │ ├── templates.ts # Exercise template tools
│ │ └── folders.ts # Routine folder tools
│ ├── generated/ # API client (generated code)
│ │ ├── client/ # Kiota-generated client
│ └── utils/ # Helper utilities
│ ├── formatters.ts # Data formatting helpers
│ └── validators.ts # Input validation helpers
├── scripts/ # Build and utility scripts
└── tests/ # Test suite
Development
Code Style
This project uses Biome for code formatting and linting:
npm run check
Generating API Client
The API client is generated from the OpenAPI specification using Kiota:
npm run export-specs
npm run build:client
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Acknowledgements
- Model Context Protocol for the MCP SDK
- Hevy for their fitness tracking platform and API
Hevy Fitness API MCP Server
Project Details
- chrisdoc/hevy-mcp
- hevy-mcp
- MIT License
- Last Updated: 4/18/2025
Recomended MCP Servers
An unofficial and community-built MCP server for integrating with https://railway.app
MCP server to assist with AI code generation using Claude Desktop, Claude Code or any coding tool that...
Pinecone Assistant MCP server
A powerful MCP tool for forging and managing AI agent personalities with customizable expert traits and behaviors.
MCP Discovery & Recommendation Service - Find the right MCP server for your needs
Manage context based on courses, assignments, exams, etc. with knowledge graph based MCP Server
Allow LLMs to control a browser with Browserbase and Stagehand