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Hevy MCP Server logo

Hevy MCP Server

VReippainen/hevy-mcp-server

A TypeScript Node.js server that connects your Hevy workout data to Language Models via Model Context Protocol (MCP). The server fetches data from the Hevy API and provides tools for accessing your workout history, exercise progress, and personal records.

Install

npx -y @vreippainen/hevy-mcp-server --stdio

Client configuration

{
  "mcpServers": {
    "server": {
      "command": "npx",
      "args": [
        "-y",
        "@vreippainen/hevy-mcp-server",
        "--stdio"
      ],
      "env": {
        "HEVY_API_KEY": "<HEVY_API_KEY>"
      }
    }
  }
}

Environment variables

HEVY_API_KEY
GitHub stars
2
Category
Health & Wellness, Developer Tools
Updated
Oct 6, 2026

About Hevy MCP Server

Model Context Protocol (MCP) is a standard that allows LLMs like Claude to integrate with external data sources and tools. This MCP server enables AI assistants to access and analyze your Hevy workout data.

Tools (4)

  • get-workouts

    Get workouts between start and end dates.

  • get-exercise-progress-by-ids

    Track progress for specific exercises over time, filtered by date range.

  • get-exercises

    Get comprehensive exercise data sorted by frequency of use, with optional filtering by name and date range.

  • get-routines

    Retrieve your saved workout routines

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

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