@kaeawc/auto-mobile

AutoMobile

AutoMobile lets AI agents control your mobile devices using natural language. Tell an AI what you want to do, and it interacts with your Android or iOS app.

It can do all this by being an MCP server that uses standard platform tools like adb & simctl paired with additional Kotlin & Swift libraries and apps. All components are open source. The point is to provide mobile engineers with AI workflow tools to perform UX deep dives, reproduce bugs, and run automated tests.

An AI agent navigating to the Clock app, creating a new alarm

An AI agent searching YouTube and browsing results

Explore and Test

Task	What it does
Explore app UX	Navigate your app, discover screens, map user flows, identify confusing interactions
Reproduce bugs	Paste a bug report and get exact reproduction steps with screenshots
Create UI tests	Describe test scenarios in plain English, get executable test plans
Measure startup time	Profile cold and warm launch performance
Check scroll performance	Detect jank and dropped frames

How it works

• 🤖 Fast UX Inspection Kotlin Accessibility Service and Swift XCTestService to enable fast, accurate observations. 10x faster than the next fastest observation toolkit.
• 🦾 Full Touch Injection Tap, Swipe, Pinch, Drag & Drop, Shake with automatic element targeting.
• ♻️ Tool Feedback Observations drive the interaction loop for all tool calls.
• 🧪 Test Execution Kotlin JUnitRunner & Swift XCTestRunner execute tests natively handling device pooling, multi-device tests, and automatically optimizing test timing.

Get Started

You can use our interactive installer to step through all host platform requirements and configuration options. It checks host dependencies, optionally downloads Android or iOS developer tools, and configured the MCP daemon.

curl -fsSL https://raw.githubusercontent.com/kaeawc/auto-mobile/refs/heads/main/scripts/install.sh | bash

Prefer Homebrew for the CLI:

brew install kaeawc/tap/auto-mobile

or follow the installation guide.

Documentation

• Full Documentation - Complete guide with examples
• FAQ - Common questions answered
• Design Docs - Architecture and implementation details

Contributing

• Code of Conduct
• Please report security vulnerabilities via GitHub
• Contributing