hypothesi/mcp-server-tauri

赋予你的AI助手超能力以促进Tauri开发

文档 ·入门指南 ·可用工具

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一个模型上下文协议（MCP）服务器，使像Claude、Cursor和Windsurf这样的AI助手能够构建、测试和调试Tauri® v2应用。来自你运行应用的截图、DOM状态和控制台日志为AI提供了丰富的上下文，帮助他们理解发生了什么——并提供了与之交互的工具。

✨ 特色

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Disclaimer：该MCP是使用代理编码工具开发的。它可能包含bugs.

🚀 快速启动

先决条件

• Node.js 20+和NPM
• **锈迹与货物（用于Tauri开发）
• Tauri CLI： npm install -g @tauri-apps/cli@next
• 移动端：Xcode（macOS）或Android SDK

1.配置你的AI助手

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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