# garmin-connect-mcp

> Use this tool when you need to access and analyze Garmin Connect data, including sleep patterns, health metrics, and activity tracking, to gain insights into user behavior and wellness. It provides comprehensive data access through a Model Context Protocol (MCP) server, solving problems related to fitness tracking and health analytics. Ideal for use cases involving personalized fitness recommendations, health monitoring, and performance optimization.

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

## Description

A Model Context Protocol (MCP) server that provides comprehensive access to Garmin Connect data including sleep analytics, health metrics, activities, and training volume analysis.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wf59278ox1)
- **Repository:** <https://github.com/epodivilov/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": "epodivilov-garmin-connect-mcp"
    }
  }
}
```

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