# Garmin Connect

> Use this tool when you need to access and analyze personal fitness data, such as sleep patterns, workout performance, and health metrics, to track progress and inform wellness decisions. It provides a bridge to the Garmin Connect API, allowing AI assistants to retrieve detailed health and fitness information. Ideal for use cases requiring in-depth analysis of personal health data, including fitness tracking and trend analysis.

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

## Description

This MCP server implementation provides a bridge to the Garmin Connect API, allowing AI assistants to access and analyze personal fitness data. Developed by dshvadskiy, it offers tools for retrieving various health metrics including sleep data, steps, activities, heart rate, and more. The server is designed for use cases requiring detailed analysis of personal health and fitness information, such as tracking workout performance, monitoring sleep patterns, or analyzing long-term fitness trends.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dshvadskiy-garmin-connect)
- **Repository:** <https://github.com/dshvadskiy/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": "dshvadskiy-garmin-connect"
    }
  }
}
```

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