# hevy-mcp

> Use this tool when you need to manage fitness routines and track user progress through natural language interactions. It solves problems related to workout organization, exercise template creation, and body measurement tracking, providing an intuitive interface for users to input commands and receive outputs on their fitness data. Ideal for use cases where users want to seamlessly integrate their workout management with AI-powered assistance.

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

## Description

Exposes the Hevy workout API to Claude, enabling users to manage workouts, routines, exercise templates, body measurements, and user info via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ezhgxc2w3g)
- **Repository:** <https://github.com/isaacfink/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": "isaacfink-hevy-mcp"
    }
  }
}
```

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