# Garmin Connect

> Use this tool when you need to analyze fitness data from multiple Garmin accounts, retrieve activity records, or track health metrics and workout history over time. It solves problems related to accessing and processing large amounts of fitness data, enabling AI assistants to provide personalized insights and recommendations. The tool takes Garmin account credentials as input and outputs detailed fitness data, making it ideal for use cases involving training trend analysis and performance monitoring.

Canonical page: https://skillsregistry.net/skills/aviman1109-garmin  
JSON: https://api.skillsregistry.net/v1/skills/aviman1109-garmin

## Description

Garmin Connect is an MCP server that provides multi-account access to Garmin Connect fitness data. It enables AI assistants to retrieve activity records, health metrics, and workout history from one or more Garmin accounts, supporting analysis of training trends and performance over time.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aviman1109-garmin)

## 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": "aviman1109-garmin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aviman1109-garmin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aviman1109-garmin/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