# hevy-mcp

> Use this tool when you need to integrate AI-driven fitness recommendations or automate workout tracking tasks. It solves problems related to managing exercise routines, accessing user fitness data, and streamlining workout planning by interacting with the Hevy Workout Tracker API. The tool accepts inputs such as user IDs, exercise names, and routine details, and outputs corresponding data, such as workout schedules and progress metrics.

Canonical page: https://skillsregistry.net/skills/jamoski3112-hevy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jamoski3112-hevy-mcp

## Description

Enables AI agents to interact with the Hevy Workout Tracker API to manage workouts, routines, exercises, and user data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qjtyf4b2ed)
- **Repository:** <https://github.com/jamoski3112/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": "jamoski3112-hevy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamoski3112-hevy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamoski3112-hevy-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt