Enables AI agents to control Android devices and emulators through direct UI interaction, allowing app navigation, automated testing, and real-world task execution via ADB without computer vision or scripts.
A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.
Provides AI agents with real-time vision and control over Android devices through screen streaming, UI automation, and fast input control via scrcpy protocol.
Enables AI agents to fully control Android devices through over 30 tools for app management, UI automation, and vision-based analysis via ADB. It supports multi-device management, action recording, and smart execution strategies ranging from UI hierarchy parsing to coordinate-based interaction.
Enables AI agents to see and operate a real Android phone over adb by fusing live screenshots with UI-tree data, supporting look, tap, swipe, type, and screenshot actions through any MCP client.
