# Garmin Cloud MCP

> Garmin Cloud MCP — redlinetriad-garmin-connect-cloudflare-mcp. Use this tool when you need to access and utilize Garmin Connect data, such as activities, health, and training status, in a secure and read-only manner. It solves problems related to integrating personal fitness data into applications, providing a stateless MCP server for Cloudflare Workers. The tool takes a securely linked personal Garmin account as input and outputs relevant read-only data, making it ideal for use cases that require authorized access to individual Garmin Connect information.

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

## Description

A stateless MCP server for Cloudflare Workers that exposes read-only Garmin Connect data (activities, health, sleep, training status, HRV, VO2 max) for a single securely linked personal account.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/up0lma0tum)
- **Repository:** <https://github.com/RedlineTriad/garmin-connect-cloudflare-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": "redlinetriad-garmin-connect-cloudflare-mcp"
    }
  }
}
```

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