Hevy FAQs

Question 1

How can I host or deploy Hevy MCP?

Accepted Answer

Hevy MCP is designed for flexible deployment. It supports Docker for containerized hosting on any platform and provides a detailed one-click deployment guide specifically for Railway, simplifying the setup process for robust cloud hosting.

Question 2

What kind of Hevy data can AI clients access or manage?

Accepted Answer

AI clients can access a comprehensive suite of tools to read total workout counts, list/get full workout details, list and retrieve routine details, and search exercises. They can also create new workouts and routines, or update existing ones directly within your Hevy account.

Question 3

What is Hevy MCP and what does it do?

Accepted Answer

Hevy MCP (Model Context Protocol) is a server that connects AI clients, such as Claude or Cursor, directly to your Hevy.com account. It enables AI to read your workout data, routines, and exercises, as well as create and update new logs on your behalf.

Question 4

What are the requirements to use Hevy MCP?

Accepted Answer

To use Hevy MCP, you will need a Hevy Pro subscription for API access, along with your personal Hevy API key. The server environment requires Python 3.11+ and the `uv` package manager.

Hevy

Key Features

Use Cases

Hevy

Key Features

Use Cases