Android Tester MCP
An MCP server for automating virtual or physical Android devices using the Gbox SDK. It enables users to manage app installations, capture screenshots, and perform complex UI actions through natural language instructions.
README
Android Tester MCP
A Model Context Protocol (MCP) plugin for automating Android devices using the Gbox SDK. This plugin provides tools for creating Android boxes, taking screenshots, performing AI-powered UI actions, and managing applications.
Features
- Create Android Boxes: Spin up virtual or physical Android devices
- Screenshot Capture: Take screenshots of the current display
- AI-Powered Actions: Perform UI actions using natural language instructions
- App Management: Install, uninstall, and launch Android applications
- Box Management: List and get information about your Android boxes
Setup
-
Install Dependencies
npm install -
Set Environment Variables
Create a
.envfile in the project root:GBOX_API_KEY=your_gbox_api_key_here -
Build the Project
npm run build
Usage
This is an MCP server that provides tools for Android automation. Once running, you can use the following tools:
Config in Cursor
{
"mcpServers": {
"gbox-android": {
"command": "node",
"args": ["/YOU_PATH_TO_THIS_REPO/android-tester-mcp/dist/index.js"],
"env": {
"GBOX_API_KEY": "YOUR API KEY"
}
}
}
}
Available Tools
- create_android_box: Create a new Android box with specified configuration
- list_boxes: List all current boxes belonging to your API key
- get_box: Get detailed information about a specific box
- get_screenshot: Take a screenshot of the Android device
- ai_action: Perform UI actions using natural language (e.g., "click the login button")
- install_apk: Install an APK file from local path or URL
- uninstall_apk: Uninstall an app by package name
- open_app: Launch an installed application
Requirements
- Node.js and npm
- Valid Gbox API key
- TypeScript (for development)
Sample Prompts in Cursor
Test the apk of this project like a user, just create an android environment on gbox, and install it and test it by instructing the MCP tool ai_action. Keep developing and testing until all requirements are met.
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