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by danielealbano • Uncategorized
An Android app running an MCP server to enable AI models to fully control an Android device remotely via accessibility services and screenshot capture.
Remotely control and interact with Android devices without requiring a host computer or ADB.
Token-efficient access to device UI state and annotated screenshots for improved interaction.
Perform complex device actions including file management, camera control, and notification handling.
This application runs directly on Android devices or emulators, exposing an HTTP/HTTPS server implementing the MCP protocol. It allows AI models to interact with any app on the device by reading UI elements, performing touch and gesture actions, managing files, launching apps, capturing photos and videos, and handling notifications. The server supports 54 MCP tools across 12 categories, offers token-efficient screen state representation, and can be accessed remotely via tunnels like Cloudflare Quick Tunnels or ngrok. It is designed for research and educational purposes, providing a low-latency, fully on-device solution without requiring ADB or a host computer.
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