# garmin-mcp

> garmin-mcp — marcelfortmann-garmcp. Use this tool when you need to analyze personal fitness and wellness data from Garmin Connect, solving problems of data accessibility and insights for athletes and individuals tracking their health. It takes in Garmin Connect data as input and provides detailed analytics and visualizations as output, enabling users to optimize their training and wellness routines. Ideal for use in Claude Desktop for a streamlined analysis experience.

Canonical page: https://skillsregistry.net/skills/marcelfortmann-garmcp  
JSON: https://api.skillsregistry.net/v1/skills/marcelfortmann-garmcp

## Description

Enables users to analyze their own Garmin Connect data—activities, sleep, HRV, Body Battery, training readiness—directly inside Claude Desktop.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/c6aouqiiuj)
- **Repository:** <https://github.com/marcelfortmann/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": "marcelfortmann-garmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcelfortmann-garmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcelfortmann-garmcp/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