# Hevy MCP

> Use this tool when you need to integrate AI-powered fitness tracking into your workflow, enabling users to manage workout routines and exercises through natural language commands. It solves problems of manual workout logging and history tracking, providing a seamless interface for AI clients to interact with the Hevy workout app. It accepts natural language inputs and outputs workout history and logging confirmations, ideal for use in fitness-focused applications and voice assistants.

Canonical page: https://skillsregistry.net/skills/zachsai-hevy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zachsai-hevy-mcp

## Description

An MCP server that connects AI clients to the Hevy workout tracking app, allowing users to manage routines and exercises. It enables reading workout history and logging new fitness sessions through simple natural language commands.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tr3erxmtl1)
- **Repository:** <https://github.com/zachsai/hevy-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zachsai-hevy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zachsai-hevy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zachsai-hevy-mcp/pull`

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