Turn Your AI Assistant Into an Android Development Powerhouse

Stop context-switching between your IDE, terminal, and Android device. DroidMind bridges your AI assistant directly to Android via ADB, letting you control devices, debug apps, and automate testing through natural language commands.

The Problem Every Android Developer Knows

You're deep in a coding flow, but then you need to:

• Install your latest build and check if that UI bug is fixed
• Grab logs from a crash that just happened
• Test your app's behavior across different device states
• Pull files from device storage to inspect
• Automate repetitive testing scenarios

Each task breaks your concentration as you switch to terminal, type ADB commands, remember device serials, and manually navigate through device UIs.

What DroidMind Actually Does

DroidMind implements the Model Context Protocol (MCP) to give AI assistants direct Android device control. Your assistant can now:

Device Management

• "List all connected devices and show their Android versions"
• "Reboot my Pixel and wait for it to come back online"
• "Check battery stats and recent crash logs on emulator-5554"

App Development & Testing

• "Install this APK on my device and launch the main activity"
• "Clear app data for com.myapp.debug and restart it"
• "Show me the manifest and permissions for the currently running app"

UI Automation & Testing

• "Take a screenshot, then tap the login button and type my test credentials"
• "Swipe through the onboarding screens and capture each step"
• "Get the full UI hierarchy and find all clickable elements"

File & Log Management

• "Pull the app's database file to my local machine for inspection"
• "Show me the last 50 logcat entries filtered for my package name"
• "Push this config file to the device and restart the app"

Real Development Workflows

Debugging in Your IDE: Ask your assistant to "Install the debug build, clear app data, launch it, and show me any crash logs" while you stay focused on code.

Automated Testing: "Run through the user registration flow - fill in the form, submit it, and verify the success screen appears" without writing UI test scripts.

Performance Analysis: "Capture a bug report, dump the heap for my app, and pull the battery usage stats" for comprehensive debugging data.

CI/CD Integration: Since DroidMind works via MCP, your AI assistant can execute complex device testing workflows as part of your development process.

Zero-Friction Setup for IDEs

The fastest way to get started is through uvx - no cloning or manual installation required. Just add this to your IDE's MCP configuration:

{
  "mcpServers": {
    "droidmind": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/hyperb1iss/droidmind",
        "droidmind",
        "--transport",
        "stdio"
      ]
    }
  }
}

Your IDE (Cursor, Cline, etc.) will automatically launch DroidMind when your assistant needs Android device access.

Built-in Security

DroidMind includes command validation, risk assessment, and protected path operations. High-risk commands are flagged, and dangerous operations are blocked by default - so you can let your AI assistant loose without worrying about device damage.

Why This Matters

Android development involves constant device interaction that breaks your flow. DroidMind eliminates the friction by letting you stay in your IDE and communicate with devices through your AI assistant in natural language.

Instead of remembering ADB syntax and device serials, you just describe what you want to happen. Your assistant handles the technical details while you focus on building great apps.

Ready to try it? DroidMind works with any MCP-compatible AI assistant and requires just Python 3.13+, ADB, and a connected Android device with USB debugging enabled.