MCP ExplorerExplorer

Mobile Xray Mcp

@CultivXon 13 days ago
1 NOASSERTION
FreeCommunity
AI Systems
Mobile Xray MCP helps analyze mobile app UIs with AI in your IDE.

Overview

What is Mobile Xray Mcp

Mobile Xray MCP is a tool designed for mobile app developers that allows them to take screenshots of their applications and receive AI-assisted feedback on user experience and design directly within their integrated development environment (IDE).

Use cases

Use cases for Mobile Xray MCP include improving the usability of mobile applications, obtaining instant feedback during the development process, and facilitating collaboration between developers and designers.

How to use

To use Mobile Xray MCP, ensure you have Node.js 18+ and either an iOS Simulator or Android Emulator installed. Then, add the provided configuration to your IDE’s config file to integrate the tool.

Key features

Key features include local privacy protection, fast feedback through direct communication with simulators, cross-platform support for both iOS and Android, AI-powered analysis, and a focus on the needs of developers.

Where to use

Mobile Xray MCP is primarily used in mobile app development, particularly in environments where developers seek to enhance user interface (UI) and user experience (UX) without dedicated design resources.

Content

Mobile Xray MCP

🔬 Take screenshots and analyze your mobile apps with AI assistance - right from your IDE.

License
Node.js
MCP

Privacy FirstBuilt by Developers for DevelopersWorks Locally

About

I’ve been building mobile apps for the last 10 years, and one thing that’s been consistently challenging without a dedicated UX designer is knowing whether the screens I create are actually user-friendly and intuitive.

Now, this has become dramatically easier. With Mobile Xray MCP, you can ask your favorite AI-powered IDE (Claude, Cursor, Windsurf, VS Code) to take a screenshot of your app and give you instant suggestions on what to improve. No more guessing about UI/UX decisions - get feedback directly in your development workflow.

This tool bridges the gap between development and design by bringing mobile app analysis capabilities directly into your coding environment, making it easier than ever to create polished, user-friendly mobile applications.

Features

  • 🔒 Privacy First: All automation happens locally on your machine - your app screenshots and data never leave your device
  • Fast: Direct communication with local simulators and emulators for instant feedback
  • 📱 Cross-Platform: Supports both iOS simulators and Android emulators
  • 🤖 AI-Powered: Integrates seamlessly with AI coding assistants for intelligent analysis
  • 👨‍💻 Developer-Focused: Built by developers who understand the mobile development workflow

⚡ Quick Start

Prerequisites: Node.js 18+, iOS Simulator or Android Emulator

Add to your IDE config file:

{
  "mcpServers": {
    "mobile-xray": {
      "command": "npx",
      "args": [
        "-y",
        "@cultivx/mobile-xray-mcp"
      ]
    }
  }
}

Test: Restart IDE → Start simulator → Ask: "Take a screenshot of my iOS simulator"

Setup Details

Prerequisites

System Requirements:

  • Node.js 18+ (check with node --version)
  • macOS 10.15+ (for iOS development)
  • macOS/Windows/Linux (for Android development)

For iOS Development:

  • Xcode Command Line Tools: xcode-select --install
  • Xcode with iOS Simulator support
  • At least one iOS Simulator installed

For Android Development:

  • Android Studio (includes adb and emulator commands)
  • Android SDK tools in your PATH
  • At least one Android Virtual Device (AVD) created

Verify Your Setup:

# Test Node.js version
node --version  # Should show v18.0.0 or higher

# Test iOS tools (macOS only)
xcrun simctl list devices | head -5

# Test Android tools
adb version

Setup Instructions

For Cursor: See Cursor MCP Documentation

For Claude Desktop: See Claude MCP Quickstart

For Windsurf: See Windsurf MCP Documentation

For VS Code: See VS Code MCP Documentation

Note: This MCP server works with any AI coding assistant that supports the Model Context Protocol.

Basic Usage

  1. Start your mobile simulator/emulator
  2. Open your AI chat in your IDE
  3. Ask for a screenshot: “Can you take a screenshot of my iOS simulator?”
  4. Get AI analysis: “What can I improve about this screen’s UX?”

Example Prompts

Platform & Setup

Check which platforms are currently supported by the mobile-xray-mcp on my machine

Accessibility

Take a screenshot of my iOS simulator and tell me what accessibility features I should add
Screenshot my current screen and check if the color contrast meets accessibility standards

UI/UX Feedback

Take a screenshot of the current iOS simulator, and find the code that is related to it, then propose some improvements without making any changes
Take a screenshot of my app and suggest improvements for mobile-first design principles
Analyze the current screen layout and suggest improvements for better user flow

Change and Verify

Make changes and verify your changes work well by taking a screenshot

Troubleshooting & FAQ

Issues:

  • “No simulators found”: Start your simulator with open -a Simulator (iOS) or check adb devices (Android)
  • MCP not connecting: Restart your IDE after adding config, verify JSON syntax is correct
  • “Command not found”: Install Xcode Command Line Tools (xcode-select --install) or ensure Android SDK is in PATH

Common Questions:

  • Frameworks: Works with React Native, Flutter, Xamarin, or any app in simulator/emulator
  • Physical devices: Not yet supported, simulators/emulators only
  • Privacy: The MCP server operates locally and doesn’t collect or send any data. Screenshot images are sent to your AI service by your IDE for analysis
  • Offline: Screenshots work offline, AI analysis needs internet connection

Current Features

Platform Detection: Automatically checks which mobile platforms are available on your system

Privacy First: All processing performed by the MCP server happens locally - no data sent to external servers. However, screenshot images will be sent to your AI service (Claude, ChatGPT, etc.) for analysis, as handled by your IDE’s AI agent

Screenshot Capture: Take instant screenshots of iOS simulators and Android emulators

Cross-Platform Support: Works with both iOS and Android development environments

IDE Integration: Seamlessly works with popular AI-powered IDEs and coding assistants

Next Features

🚧 Interactive Navigation: Enable AI assistants to navigate through your app interface

Contributing

We welcome contributions! Here’s how you can help:

  1. Fork this repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

I’ll review all PRs and provide feedback. Whether it’s bug fixes, new features, or documentation improvements - all contributions are appreciated!

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Support


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