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Mobile Device Mcp

@saranshbamania

リポジトリ

Mobile Device Mcp について

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

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

saranshbamania

投稿者

saranshbamania

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Mobile Device Mcp

Which AI coding assistants are supported?

Claude Code, Cursor, and Windsurf are explicitly supported.

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.

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.

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.

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.

コメント

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