Overview
Features
Fast and lightweight
Uses native accessibility trees for most interactions, or screenshot-based coordinates where accessibility labels are not available.
LLM-friendly
No computer vision model required in the Accessibility (Snapshot) path.
Visual Sense
Evaluates what’s rendered on screen to decide the next action; falls back to screenshot-based analysis if accessibility data or view-hierarchy coordinates are unavailable.
Deterministic tool application
Reduces ambiguity found in purely screenshot-based approaches by relying on structured data whenever possible.
Extract structured data
Enables you to extract structured data from anything visible on screen.
Cross-platform Unified API
A single API works across both iOS and Android, simplifying automation and integration.
Agent/LLM integration
Supports integration with AI agents and LLM-driven workflows for mobile automation and data extraction.
Headless/Background operation
Supports running in headless mode on simulators/emulators when no real device is connected.
Who Is This For?
- Developers:Automate iOS/Android apps with a single, platform-agnostic API.
- QA engineers:Orchestrate end-to-end mobile tests across devices via MCP tools and LLMs.
- AI/LLM integrators:Integrate MCP with AI agents to automate mobile interactions and data extraction.




