# garmin-connect-mcp

> Use this tool when you need to access and analyze Garmin Connect fitness data within AI clients, enabling queries on activities, sleep metrics, and performance stats through 61 specialized tools. It solves problems related to fitness tracking, health monitoring, and training analysis by providing a centralized interface for data retrieval. Ideal for use cases requiring direct integration of Garmin Connect data into AI workflows, such as personalized fitness recommendations or health trend analysis.

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

## Description

An MCP server that provides access to Garmin Connect fitness, health, and training data through 61 specialized tools. It enables users to query activities, sleep metrics, and performance stats directly within AI clients like Claude or Cursor.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ktfl5cdlb6)
- **Repository:** <https://github.com/Nicolasvegam/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": "nicolasvegam-garmin-connect-mcp"
    }
  }
}
```

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