garmin-connect-plugin-for-dsh

dsh-plugin-garmin-connect

A TypeScript-based Garmin Connect plugin and MCP server with official Personal API and secure browser-based MFA, built for DeepSeek Harness and designed to work with other AI agents.

English | 简体中文 | Test Report | Changelog

Developed by Li Erniu (李二牛), connecting Garmin training to your AI assistant.

This open-source DeepSeek Harness plugin and MCP connector support Garmin China and International accounts. Explore full activities and splits, sleep, heart rate and HRV with AI, then create, schedule or delete workouts or cancel calendar entries after your confirmation.

You control your account. Your password is not shared with AI. With the recommended Garmin browser sign-in, passwords and verification codes are entered only on Garmin’s official page, not given to AI or the developer. Session credentials are stored locally with restricted file permissions. Authorized fitness and health queries return data to your chosen AI client for analysis.

Works with mainstream coding agents and AI workspaces
DeepSeek Harness · WorkBuddy · Qwen Work · ZCode · Claude Code · Codex · Cursor · Windsurf
_{Connect through MCP or a SKILL.md workflow, depending on the client.}

[!NOTE] MFA support in 0.1.6: local dsh Web, the garmin-connect-auth serve system-browser flow, and MCP URL elicitation can bootstrap the same owner-only session for China and International accounts. Real-account MFA completed in both regions on 2026-08-29, including a full China-region browser-to-session-and-read chain and an International-region system-browser DI exchange with owner-only session persistence. Browser policy may still block an individual flow. The older login --browser command is retained only as a diagnostic.

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What It Does

This plugin connects DeepSeek Harness or any MCP-compatible AI agent to Garmin Connect, exposing your wearable data as AI-callable tools. Once installed, the agent can automatically query your activities, sleep, steps, and heart rate to provide personalized fitness insights — all through natural language.

Registered Tools

Read the full README on GitHub →