# super-hevy-mcp

> super-hevy-mcp — stonelasley-hevy-mcp. Use this tool when you need to manage and track workouts using natural language, enabling users to query training history, log new workouts, and modify routines. It solves problems of manual data entry and provides an intuitive interface for users to interact with their training data. The super-hevy-mcp tool accepts natural language inputs and outputs relevant training information, making it ideal for users seeking a seamless and user-friendly workout tracking experience.

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

## Description

MCP server for the Hevy workout tracker that enables users to query training history, log workouts, and manage routines via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ddey7r5z9r)
- **Repository:** <https://github.com/stonelasley/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": "stonelasley-hevy-mcp"
    }
  }
}
```

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