Hevy MCP Server

What is Hevy MCP Server? Hevy MCP Server is a TypeScript Node.js server that connects your Hevy workout data to Language Models via Model Context Protocol (MCP). It fetches data from the Hevy API and provides tools for accessing workout history, exercise progress, and personal records. How to use Hevy MCP Server? To use the Hevy MCP Server, you need to obtain your Hevy API key from the Hevy API Documentation, then configure the server in your Cursor setup by adding the necessary command and environment variables. Key features of Hevy MCP Server? Retrieve recent workouts with duration and volume stats. Track progress for specific exercises over time. Search for exercise IDs by name. Get a list of all exercise IDs and names. Retrieve saved workout routines and favorite exercises. Use cases of Hevy MCP Server? Analyzing workout performance over time. Integrating workout data with AI assistants for personalized feedback. Managing and retrieving workout routines efficiently. FAQ from Hevy MCP Server? How do I obtain my Hevy API key? Visit the Hevy API Documentation and follow the authentication instructions to sign up for API access. Can I use this server without an API key? No, you need a valid Hevy API key to access the workout data. What programming language is used for this server? The server is built using TypeScript.

As an MCP (Model Context Protocol) server, Hevy MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Hevy MCP Server, you need to obtain your Hevy API key from the Hevy API Documentation, then configure the server in your Cursor setup by adding the necessary command and environment variables. Key features of Hevy MCP Server? Retrieve recent workouts with duration and volume stats. Track progress for specific exercises over time. Search for exercise IDs by name. Get a list of all exercise IDs and names. Retrieve saved workout routines and favorite exercises. Use cases of Hevy MCP Server? Analyzing workout performance over time. Integrating workout data with AI assistants for personalized feedback. Managing and retrieving workout routines efficiently. FAQ from Hevy MCP Server? How do I obtain my Hevy API key? Visit the Hevy API Documentation and follow the authentication instructions to sign up for API access. Can I use this server without an API key? No, you need a valid Hevy API key to access the workout data. What programming language is used for this server? The server is built using TypeScript.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.