Drengr
Eyes and hands for AI agents on Android and iOS devices, enabling screen observation, interaction, and autonomous nav...
What it does
Eyes and hands for AI agents on Android and iOS devices, enabling screen observation, interaction, and autonomous navigation via a single Rust binary.
Drengr gives AI agents the ability to see, understand, and interact with Android and iOS mobile devices. Built as a single Rust binary with three core MCP tools (observe screen, take action, query elements), it supports both vision-based and text-only modes for efficient mobile automation. The platform includes a situation engine that tracks screen changes, crash detection, and stuck states between actions. Drengr works with any MCP client through stdio transport and supports local devices via ADB/simctl as well as cloud device services.
Capabilities
Server
Quality
deterministic score 0.55 from registry signals: · indexed on pulsemcp · has source repo · registry-generated description present