# garmin-mcp

> garmin-mcp — goosegit97-garmin-mcp. Use this tool when you need to integrate Garmin Connect data with AI assistants like Claude to generate personalized strength and pool-swim workouts, and access wellness data such as sleep, HRV, stress, and body battery. It provides a self-hosted Model Context Protocol (MCP) server that runs locally over stdio, offering a single Go binary for seamless integration. Ideal for users seeking to leverage AI-driven fitness planning and wellness tracking with their Garmin Connect data.

Canonical page: https://skillsregistry.net/skills/goosegit97-garmin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/goosegit97-garmin-mcp

## Description

Self-hosted Model Context Protocol (MCP) server for Garmin Connect — let Claude and other AI assistants build native strength & pool-swim workouts and read wellness data (sleep, HRV, stress, body battery). Runs locally over stdio; single Go binary.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/goosegit97/garmin-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": "goosegit97-garmin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/goosegit97-garmin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/goosegit97-garmin-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