# garmin-mcp

> garmin-mcp — cadencheng888-garmin-mcp. Use this tool when you need to analyze and query your Garmin watch health and activity data using natural language questions. It connects Garmin Connect data to Claude Desktop, solving problems of data accessibility and interpretation. By providing Garmin watch data as input, it outputs insightful answers to user queries, ideal for users seeking to gain a deeper understanding of their fitness and wellness metrics.

Canonical page: https://skillsregistry.net/skills/cadencheng888-garmin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cadencheng888-garmin-mcp

## Description

Connects Garmin watch data to Claude Desktop, allowing users to ask natural language questions about their health and activity data from Garmin Connect.

## 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/oh0pm0joku)
- **Repository:** <https://github.com/cadencheng888/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": "cadencheng888-garmin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cadencheng888-garmin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cadencheng888-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