AI-facing interface for Android device automation via pure ADB. Designed to be called by any AI agent (Claude Code, Cursor, Hermes, etc.) through CLI or Skill.
npx skills add briqt/android-bridgegit clone https://github.com/briqt/android-bridge.git
cd android-bridge
pip install -e .- Python 3.10+
- ADB (Android Debug Bridge) accessible via PATH or
ADBenv var - Android device with USB debugging enabled (root recommended)
# Connect device (remembers for future commands)
android-bridge connect 192.168.137.96
# Read screen
android-bridge snapshot
android-bridge screenshot --out screen.png
# Interact
android-bridge tap 540 1200
android-bridge swipe 540 1500 540 500
android-bridge press back
android-bridge type "hello"
# Shell
android-bridge shell "dumpsys battery"
android-bridge shell --root "cat /sys/class/power_supply/battery/capacity"- LLM is the brain, tool is the hands. No decision logic in the tool — just atomic operations (perceive, tap, swipe, type).
- Pure ADB, zero on-device dependencies. No apps, no agents, no Accessibility Service installed on the phone.
- CLI is the single source of truth. Skill is documentation; future MCP would be a protocol wrapper around CLI.