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.
Enables LLM agents to drive real Android devices or emulators by reading the live accessibility tree, acting on UI nodes instead of coordinates, verifying every action, and typing Unicode text.
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 control Android devices through natural language, supporting app management, UI interaction, gestures, and system operations via uiautomator2.
Controls Android and iOS devices from AI agents through a token-efficient MCP server, enabling observation, tapping, typing, gestures, navigation, assertions, and safety-gated actions.
