googlarz/suunto-mcp

Overview

MCP server that connects your Suunto watch data to Claude and other AI assistants. It retrieves exercise and activity data from Suunto's API and formats it for use by LLMs through the Model Context Protocol.

Best for

Best for
Developers who own a Suunto watch and want to explore their activity data through AI chat interfaces

Use cases

• Analyze workout trends and performance from Suunto watch data in Claude
• Query recent exercise sessions or daily activity summaries via an AI assistant
• Integrate Suunto health metrics into automated training logs or dashboards

How to use

Install

npm install && npm run build

Tools exposed

• git
• node
• npm

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Continue

Example client config

SUUNTO_CLIENT_ID=your-client-id-here\nSUUNTO_CLIENT_SECRET=your-client-secret-here\nSUUNTO_SUBSCRIPTION_KEY=your-subscription-key-here

Notes

MCP server that connects your Suunto watch data to Claude and other AI assistants. It retrieves exercise and activity data from Suunto’s API and formats it for use by LLMs through the Model Context Protocol.

2 stars on GitHub. Last updated 2026-05-13. Licensed MIT.

Use cases

• Analyze workout trends and performance from Suunto watch data in Claude
• Query recent exercise sessions or daily activity summaries via an AI assistant
• Integrate Suunto health metrics into automated training logs or dashboards

Pros

• Bridges Suunto’s ecosystem with LLM-driven analysis tools
• Written in TypeScript for straightforward setup and maintenance
• Small, focused codebase that’s easy to audit or extend

Cons

• Very young project with only 2 GitHub stars and minimal community support
• Requires a Suunto watch and valid API credentials to function
• Limited to reads from Suunto — no write-back or device configuration support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.