Hevy MCP Server
H

Hevy MCP Server

A TypeScript server that connects Hevy fitness data with language models and provides tools for fitness history, training progress, and personal records through the MCP protocol.
2.5 points
12.2K

What is Hevy MCP Server?

This is a server program based on TypeScript that serves as a connection bridge between your Hevy fitness data and AI assistants (such as Claude). It enables AI to securely access and analyze your fitness history, training progress, and personal records through the Model Context Protocol (MCP) standard protocol.

How to use Hevy MCP Server?

Simply configure your Hevy API key, and the AI assistant can query your fitness data through natural language. The server will automatically handle data requests and conversions, and you can obtain intelligent analysis without any technical operations.

Use cases

When you want to get fitness advice through AI, analyze training progress, compare historical performance, or develop personalized training plans, this service can provide data support.

Main features

Training history query
Get training records within a specified date range, including statistics such as duration and training volume. A maximum of 10 records will be returned each time.
Exercise progress tracking
Track the change trend of specific training exercises over time and view personal records in different repetition ranges.
Exercise data analysis
Get information about the training exercises you use most often, including actual and estimated 1RM (one-rep maximum). You can filter by name and date.
Training routine management
View all the training routine templates you've saved, including detailed information about the exercise composition.
Advantages
Seamlessly connect AI assistants with your real fitness data
Automatically calculate key indicators such as training volume and 1RM
Support natural language queries without the need to learn complex commands
Data is only accessible to you, ensuring privacy and security
Limitations
You need to be a Hevy premium member to use the API features
A maximum of 10 records will be returned for historical data queries
Some analysis functions depend on the understanding ability of the AI assistant

How to use

Get a Hevy API key
Visit the Hevy developer portal to register and obtain your personal API key
Configure the Cursor client
Add server settings to the MCP configuration file of Cursor
Set environment variables
Add your Hevy API key to the configuration
Start querying
Query your fitness data through the AI assistant using natural language

Usage examples

Training progress analysis
Let the AI analyze your progress in a specific exercise over the past three months
Training routine generation
Generate a personalized training routine based on your historical data

Frequently Asked Questions

Do I need to be a programmer to use this service?
Is my fitness data secure?
Why can I only query a maximum of 10 training records?

Related resources

Hevy official API documentation
Complete technical documentation of the Hevy API
Model Context Protocol specification
Technical specification of the MCP protocol
GitHub project repository
Server source code and issue tracking

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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