# Suunto MCP

> Use this tool when you need to access and analyze Suunto watch data through AI assistants, solving problems of manual data tracking and enabling natural language queries about workouts, sleep, and recovery. It takes Suunto watch data as input and outputs personalized insights and answers to voice-based queries. Ideal for fitness enthusiasts and athletes seeking convenient and hands-free access to their wellness data.

Canonical page: https://skillsregistry.net/skills/googlarz-suunto-mcp  
JSON: https://api.skillsregistry.net/v1/skills/googlarz-suunto-mcp

## Description

Bridges Suunto watch data to AI assistants like Claude, enabling natural language queries about workouts, sleep, and recovery.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uzbftwy3sh)
- **Repository:** <https://github.com/googlarz/suunto-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": "googlarz-suunto-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/googlarz-suunto-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/googlarz-suunto-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