# Garmin Health MCP Server

> Garmin Health MCP Server — matt-y-matt-garmin-mcp. Use this tool when you need to access and query Garmin Connect history, such as workouts, sleep, and fitness scores, through natural language interface. It solves problems of data privacy and offline access by storing data locally in a SQLite database. Ideal for use cases where users want to retrieve their Garmin health and fitness data securely and efficiently.

Canonical page: https://skillsregistry.net/skills/matt-y-matt-garmin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/matt-y-matt-garmin-mcp

## Description

This MCP server provides read-only access to your local Garmin Connect history, enabling Claude to query workouts, sleep, training load, fitness scores, records, and gear via natural language. It uses a sync script to pull data into a local SQLite database, ensuring privacy and offline operation.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fkbu3jufnr)
- **Repository:** <https://github.com/Matt-y-Matt/Garmin-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": "matt-y-matt-garmin-mcp"
    }
  }
}
```

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