hevy-mcp-ts
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A TypeScript Model Context Protocol (MCP) server implementation for interacting with the Hevy workout tracking API.
Hevy MCP provides AI assistants with access to your Hevy workout data through the Model Context Protocol. This server enables AI tools to retrieve and analyze your workout history, helping you gain insights into your fitness journey. It is designed to integrate seamlessly with AI assistants, allowing them to access and process workout data efficiently. The server is built using TypeScript and requires Node.js for execution. It connects to the Hevy API to fetch workout data and uses the Model Context Protocol to communicate with AI models, making it a powerful tool for fitness enthusiasts who want to leverage AI for personalized workout insights.
Features
- Retrieves workout history from Hevy API
- Implements the Model Context Protocol for AI assistant integration
- Simple setup with configurable options
Tools
getWorkouts
Retrieve user workouts with pagination