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.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.