hypothesi/mcp-server-tauri

타우리 개발을 위한 AI 비서의 초능력을 부여하세요

문서 · 시작 · 사용 가능한 도구

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Claude, Cursor, Windsurf 같은 AI 비서가 Tauri® v2 애플리케이션을 구축, 테스트, 디버깅할 수 있도록 하는 모델 컨텍스트 프로토콜(MCP) 서버입니다. 실행 중인 앱에서 캡처한 스크린샷, DOM 상태, 콘솔 로그는 AI가 상황을 이해하고 상호작용할 수 있는 풍부한 맥락을 제공합니다.

✨ 특징

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Disclaimer: 이 MCP는 에이전트틱 코딩 도구를 사용해 개발되었습니다. bugs. 포함될 수 있습니다

🚀 퀵 스타트

전제 조건

• Node.js 20+ 및 NPM
• **녹과 화물 (타우리 개발용)
• 타우리 CLI: npm install -g @tauri-apps/cli@next
• 모바일용: Xcode(macOS) 또는 Android SDK

1. AI 어시스턴트 설정

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A Model Context Protocol (MCP) server that enables AI assistants like Claude, Cursor, and Windsurf to build, test, and debug Tauri® v2 applications. Screenshots, DOM state, and console logs from your running app give the AI rich context to understand what’s happening—and tools to interact with it.

✨ Features

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Disclaimer: This MCP was developed using agentic coding tools. It may contain bugs.

🚀 Quick Start

Prerequisites

• Node.js 20+ and npm
• Rust and Cargo (for Tauri development)
• Tauri CLI: npm install -g @tauri-apps/cli@next
• For mobile: Xcode (macOS) or Android SDK

1. Configure Your AI Assistant

Use aix to add the server to your AI assistant:

npx -y @a1st/aix add mcp tauri --command 'npx @hypothesi/tauri-mcp-server' --user

Supported clients: claude-code, cursor, windsurf, vscode, cline, roo-cline, claude, zed, goose, warp, codex

[!TIP] aix automatically detects your installed AI assistants and configures them.

Restart your AI assistant after adding the configuration.

CLI Usage

If you want to call the tools directly from a terminal instead of from an MCP client:

npm install -g @hypothesi/tauri-mcp-cli
tauri-mcp driver-session start --port 9223
tauri-mcp webview-screenshot --file screenshot.png

The CLI uses MCPorter keep-alive support so driver_session state survives across separate commands.

2. Set Up the MCP Bridge Plugin

Ask your AI assistant to help configure your Tauri app:

“Help me set up the Tauri MCP Bridge plugin”

Your AI will:

1. Examine your project to see what’s already configured