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Mobile Device MCP Server

@saranshbamania

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

saranshbamania

提交者

saranshbamania

关于 Mobile Device MCP Server

MCP server that gives AI coding assistants the ability to see and interact with mobile devices. 49 tools for Android/iOS — AI-powered visual analysis (Claude + Gemini), smart tap/type by description, Flutter widget tree inspection, video recording, and test script generation. 4-t

#mcp#mobile#android#ios#flutter#ai#testing#automation#screenshot#adb#claude#gemini#device-control#visual-analysis

Mobile Device MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mobile-device": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mobile-device-mcp"
      ],
      "env": {
        "GOOGLE_API_KEY": "your-google-api-key"
      }
    }
  }
}

Mobile Device MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Mobile Device Mcp?

Mobile Device Mcp gives AI coding assistants (Claude Code, Cursor, Windsurf) the ability to see and interact with mobile devices. It provides 49 MCP tools across seven categories including Device Control, AI Vision, Flutter, iOS Simulator, Video Recording, Test Generation, and App Management. It is built for developers who need to automate mobile device interactions from their coding environment.

How to use Mobile Device Mcp?

Run npx mobile-device-mcp with zero setup. It automatically discovers ADB, detects connected Android devices, and installs the companion app. For iOS simulators and Flutter apps, additional capabilities are activated when a Dart VM Service is detected. No configuration files are needed to start.

Key features of Mobile Device Mcp

  • 49 MCP tools across 7 categories for device interaction
  • AI Vision tools: smart tap by description, screen analysis, OCR, form filling
  • Flutter widget tree inspection and hot reload/restart via Dart VM Service
  • iOS Simulator control (boot, screenshot, shutdown) via xcrun simctl
  • Test generation: record tool calls and export as TypeScript/Python/JSON scripts
  • Compresses screenshots 89% (251KB to 28KB) with no AI quality loss

Use cases of Mobile Device Mcp

  • Automate mobile app UI testing with screenshot comparisons and element search
  • Inspect and modify Flutter widget trees directly from an AI coding assistant
  • Record a session of device interactions and export it as a reusable test script
  • Perform visual regression testing with diff analysis and OCR
  • Manage apps (install, uninstall, launch, stop) across multiple Android devices

常见问题

1

Which AI coding assistants are supported?

Claude Code, Cursor, and Windsurf are explicitly supported.

2

What is included in the free tier vs Pro?

Free tier gives 14 tools for device control and basic interaction. Pro unlocks all 49 tools including AI Vision, Flutter, iOS, video recording, and test generation.

3

How does Mobile Device Mcp achieve its performance?

It uses a 4-tier element search that resolves taps in under 1ms locally. The companion Android app retrieves the UI tree 23x faster than UIAutomator (105ms vs 2448ms). Screenshots are compressed 89% with zero AI quality loss.

4

What setup is required for Android devices?

None. Running `npx mobile-device-mcp` auto-discovers ADB, auto-detects connected devices, and auto-installs the companion app.

5

Does it support both Android and iOS?

Yes. Android uses ADB and the companion app; iOS Simulator is controlled via `xcrun simctl`. Flutter support works through the Dart VM Service on either platform.

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