# Garmin Connect MCP

> Use this tool when you need to integrate Garmin Connect data with large language models for personalized running analysis and training plans. It solves problems related to performance monitoring, training load management, and workout planning by providing data-driven suggestions based on health indicators like VO2 Max and recovery status. The tool takes in Garmin Connect data as input and outputs personalized training plans and performance metrics.

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

## Description

A Model Context Protocol server that integrates Garmin Connect data with LLMs to provide personalized running analysis and training plans. It enables users to monitor performance metrics, manage training loads, and receive data-driven workout suggestions based on health indicators like VO2 Max and recovery status.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kbjazu2nvs)
- **Repository:** <https://github.com/leewnsdud/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": "leewnsdud-garmin-connect-mcp"
    }
  }
}
```

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

---
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