# Hevy MCP Server

> Use this tool when you need to integrate AI-driven workout management into your application, providing access to Hevy workout data and enabling agents to manage routines, exercises, and body measurements. It solves problems related to fitness data management and automation, offering a Dockerized SSE endpoint for seamless integration. Ideal for use cases requiring real-time workout data synchronization and AI-powered fitness insights.

Canonical page: https://skillsregistry.net/skills/karlhsueh-hevyapp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/karlhsueh-hevyapp-mcp

## Description

Provides AI agents with access to Hevy workout data, allowing them to manage workouts, routines, exercises, and body measurements through a Dockerized SSE endpoint.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s9a0kk14m6)
- **Repository:** <https://github.com/karlhsueh/hevyapp-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": "karlhsueh-hevyapp-mcp"
    }
  }
}
```

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

---
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