# hevy-mcp-server

> Use this tool when you need to integrate AI agents with the Hevy workout app API, enabling seamless connectivity and data exchange between agents and the app. It solves problems of agent-app communication, providing a reliable interface for inputs such as workout data and outputs like personalized fitness recommendations. Ideal for use cases requiring automated interactions with the Hevy API, this tool streamlines agent-app interactions via a robust MCP server connection.

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

## Description

MCP server connecting agents to the Hevy workout app API.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/meimakes/hevy-mcp-server)

## 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": "meimakes-hevy-mcp-server"
    }
  }
}
```

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