Hevy MCP
2 points
5.6K

What is the Hevy MCP Server?

The Hevy MCP server is a bridge connecting the AI assistant with Hevy fitness data. It allows you to directly access and manage your fitness data through an AI assistant (such as Claude Desktop), including viewing training records, creating training plans, managing exercise templates, etc. The server is written in Rust, featuring high performance and low memory consumption.

How to use the Hevy MCP Server?

Using the Hevy MCP server requires three steps: 1) Obtain a Hevy API key (requires a Hevy PRO subscription), 2) Start the server (either through Docker or by compiling from source code), 3) Configure the server connection in an AI assistant (such as Claude Desktop). After configuration, you can interact with the AI assistant in natural language to manage your fitness data.

Applicable Scenarios

The Hevy MCP server is particularly suitable for the following scenarios: Fitness enthusiasts who want to record and analyze training data through an AI assistant; Coaches who need to create and manage training plans for their students; Fitness bloggers who want to automatically generate training content; Developers who want to integrate Hevy data into other applications.

Main Features

Workout Record Management
View, create, update, and delete workout records. Support paginated browsing of workout history and obtain detailed workout data including sets and weights.
Training Plan Management
Create and manage training templates (Routines), including setting up repetitive training structures and exercise combinations. Support folder - based classification management.
Exercise Template Library
Access the official Hevy exercise template library, which contains detailed information on muscle groups and equipment classification. Support the creation of custom exercise templates.
Exercise History Tracking
View historical performance data of specific exercises and analyze progress trends. Support filtering historical records by time range.
HTTP Transmission Support
MCP transmission based on the HTTP protocol, supporting session management and automatic cleanup. Provide flexible deployment options.
Intelligent Session Management
Automatic session creation, timeout cleanup, and session isolation. Support both single - user and multi - user operation modes.
Advantages
High performance: Written in Rust, with low memory usage and fast response speed
Asynchronous support: Fully asynchronous architecture, supporting high - concurrency requests
Flexible deployment: Support Docker containerization deployment and source code compilation
Multi - user support: Can be configured in single - user or multi - user mode
Complete API coverage: Support all major functions of the Hevy API
Session security: Automatic session management and timeout cleanup mechanism
Limitations
Requires a Hevy PRO subscription: You must have a Hevy PRO account to obtain an API key
Technical threshold: Requires certain technical knowledge for configuration and deployment
Dependence on external services: Requires a stable network connection to access the Hevy API
API limitations: Subject to the rate and function limitations of the Hevy API
Learning curve: Need to understand the basic concepts of the MCP protocol

How to Use

Obtain an API Key
Log in to the Hevy website, go to Settings → Developer page, and generate an API key. Note: You need a Hevy PRO subscription to access this function.
Start the Server
Use Docker to quickly start the server or compile from source code. Set environment variables containing your API key.
Configure the AI Assistant
In Claude Desktop or other AI assistants that support MCP, add the Hevy MCP server configuration. Specify the server address and port.
Start Using
Start the AI assistant, and you can now query and manage your Hevy fitness data in natural language.

Usage Examples

Workout Record Review and Analysis
The user wants to review the training progress in the past month and analyze which exercises have improved and which need improvement.
Create a New Training Plan
The user needs to create a new training plan for next week, including specific exercises, sets, and weights.
Exercise Template Search
The user wants to try new back - training exercises and needs to find relevant exercise templates and correct posture instructions.
Training Data Export
The user needs to export training data for use in other analysis tools or to share with a coach.

Frequently Asked Questions

What do I need to use the Hevy MCP server?
What's the difference between single - user mode and multi - user mode?
What does session timeout mean? How to adjust it?
Which AI assistants does the server support?
How is data security ensured?
How to troubleshoot connection issues?

Related Resources

Hevy Official API Documentation
Complete technical documentation for the Hevy API, including all endpoints and parameter descriptions
Model Context Protocol Specification
Official specification and implementation guide for the MCP protocol
GitHub Repository
Source code and latest version of the Hevy MCP server
Docker Image
Official Docker image, supporting rapid deployment
Claude Desktop Configuration Guide
How to configure the MCP server in Claude Desktop

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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