# hevy-mcp

> Use this tool when you need to access and analyze your workout data through natural language queries, solving problems such as tracking progress and retrieving exercise details. It takes in voice or text inputs and outputs relevant information on workout history, routines, and progress. Use hevy-mcp to streamline your fitness tracking and gain insights into your exercise routines.

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

## Description

Access your Hevy workout data through natural language. Query workout history, exercise details, routines, and track progress.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fr3r0h1a8i)
- **Repository:** <https://github.com/Caiuse/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": "caiuse-hevy-mcp"
    }
  }
}
```

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