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.
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.
Gives AI coding assistants live, structured access to running apps' state and UI elements, enabling real-time verification and interaction across web, mobile, and desktop.
Enables AI coding agents to test and automate Android apps rendering UI in OpenGL/Vulkan/Metal surfaces via screenshot-based vision tools for tapping, swiping, long-pressing, and recording, without accessibility tree dependency.
A Model Context Protocol server for ad-hoc UI testing of Android and iOS apps, enabling LLM agents to interact with mobile app UIs and react to observations.
