# garmin-connect-mcp

> garmin-connect-mcp — etweisberg-garmin-connect-mcp. Use this tool when you need to manage and interact with Garmin Connect data, solving problems related to fitness tracking and device integration. It provides an interface to access and manipulate user data, with inputs such as API requests and outputs including synchronized fitness data. Ideal for use cases involving automated data analysis, synchronization, or backup of Garmin Connect user information.

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

## Description

Garmin Connect MCP

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

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

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