# Garmin MCP Server

> Use this tool when you need to integrate Garmin Connect data with AI assistants for personalized workload planning, solving problems of manual data transfer and inaccurate activity tracking. It exposes wellness and recovery metrics, taking Garmin Connect data as input and outputting compatible metrics for MCP-compatible AI assistants. Ideal for use cases where AI-driven planning requires accurate physical activity data.

Canonical page: https://skillsregistry.net/skills/tavaresiqueira-garmin-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tavaresiqueira-garmin-mcp-server

## Description

Exposes Garmin Connect wellness and recovery metrics to MCP-compatible AI assistants for workload planning.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m8poep48tv)
- **Repository:** <https://github.com/Tavaresiqueira/garmin-mcp-server>

## 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": "tavaresiqueira-garmin-mcp-server"
    }
  }
}
```

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