# hevy-mcp

> Use this tool when you need to integrate workout logs with AI analysis, enabling the creation of personalized routines and training insights. The hevy-mcp server connects Claude to Hevy workout logs, allowing for seamless workout reading and analysis. It accepts workout log data as input and outputs tailored training recommendations and routine suggestions.

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

## Description

A Model Context Protocol server that connects Claude to Hevy workout logs, enabling workout reading, routine creation, and training analysis.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k6v6yfckb5)
- **Repository:** <https://github.com/Vellarasan/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": "vellarasan-hevy-mcp"
    }
  }
}
```

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