Provides large language models with introspection and control capabilities over Android devices using UIAutomator.
Sponsored
Android UIAutomator acts as a Model Context Protocol (MCP) server, bridging the gap between LLMs and Android devices. It enables AI agents to understand and interact with Android applications by providing a rich set of tools for UI tree analysis, element interaction, app management, and device control. The server utilizes uiautomator2 for reliable device communication and includes features like snapshot caching for consistent element IDs and advanced XML compression techniques to optimize LLM consumption of UI data. It supports both local subprocess (stdio) and network (SSE) transports, facilitating flexible integration into various AI workflows.
Key Features
01Compresses UIAutomator XML dumps with summary and compact tree modes for LLMs
02Provides two transport mechanisms: stdio for local and SSE for network/Docker access
03Connects LLMs to Android devices via UIAutomator2
04Supports multiple Android devices simultaneously with optional device targeting
05Includes a comprehensive set of 23 tools for UI interaction, app management, and device control
060 GitHub stars
Use Cases
01Integrate Android device control into AI-powered testing and development workflows
02Enable LLMs to automate tasks and interact with Android applications
03Allow AI agents to navigate, inspect, and manipulate Android UI elements for various purposes
