Control Android devices with AI using the Model Context Protocol (MCP). Provides an MCP server that bridges AI assistants to Android via ADB, enabling device management, app control, file handling, UI automation, log capture and more.
https://github.com/hyperb1iss/droidmindStop 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.
You're deep in a coding flow, but then you need to:
Each task breaks your concentration as you switch to terminal, type ADB commands, remember device serials, and manually navigate through device UIs.
DroidMind implements the Model Context Protocol (MCP) to give AI assistants direct Android device control. Your assistant can now:
Device Management
App Development & Testing
UI Automation & Testing
File & Log Management
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.
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.
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.
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.