SkillFoxx

AutoMobile MCP

AutoMobile lets an agent control Android and iOS devices in plain language: explore an app, reproduce bugs and write UI tests

  • 56 ★ on the repository
  • Last commit
  • Apache-2.0
MCP server

Broad access

Why this level

  • The agent controls a connected device or emulator: it taps, types and installs apps
  • Helper UI observation services are installed on the device
All reasons and checks

kaeawc/auto-mobileAuthor:kaeawc

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add mcp/automobile

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Broad accessThe tool can change data, run commands or handle secrets.

  • The agent controls a connected device or emulator: it taps, types and installs apps
  • Helper UI observation services are installed on the device

This is third-party code. Review the repository files before installing.

What it does

AutoMobile is an MCP server that uses standard platform tools, `adb` and `simctl`, together with Kotlin and Swift libraries. You describe a task in words and the agent taps, scrolls, types and switches apps on a real device, emulator or simulator. UI observations come from a Kotlin accessibility service and a Swift XCTestService, and touches cover tap, swipe, pinch, drag and shake. Typical tasks: exploring an app's screens and flow map, reproducing a bug from a report with screenshots, creating UI tests in plain language and running them through JUnitRunner or XCTestRunner, measuring cold and warm start time and finding scroll jank. All components are open source.

Who it is for. Mobile developers and QA engineers who want to hand app exploration and testing on Android and iOS to an agent.

Good fit when

  • The agent walks through the app and maps screens and confusing parts of the interface
  • A bug from a report is reproduced step by step with screenshots
  • A plain-language scenario becomes an executable UI test
  • Cold start time and scroll jank are measured

Not a fit when

  • The app cannot run on an emulator or device
  • You only need a scripted test with no agent involved
  • You have no access to Android SDK or Xcode tools

Example request

Open the app on the emulator, go through signup, find screens with confusing navigation and measure cold start time

MCP

Transport
stdio
Authentication
not required

Limitations

Platform tools are required: the Android SDK with `adb` for Android and Xcode with `simctl` for iOS. The interactive installer checks dependencies, can download tools and configures the MCP daemon, but it runs through `curl | bash`, so read the script first. Auxiliary UI observation services are installed on the device. The agent gets full control of the connected device, including app installation and text entry. Tests have separate runners in Kotlin and Swift.

How to disable. Uninstall the package (`brew uninstall auto-mobile`), remove the server from the client and delete the helper apps from the device or emulator.

FAQ

How do I install AutoMobile?

Through Homebrew `brew install kaeawc/tap/auto-mobile` or the interactive installer `curl -fsSL https://raw.githubusercontent.com/kaeawc/auto-mobile/refs/heads/main/scripts/install.sh | bash`. Details are in the installation guide.

How do I connect it to Claude Code?

Run `/plugin marketplace add kaeawc/auto-mobile`, then `/plugin install auto-mobile@auto-mobile-marketplace`.

Which platforms are supported?

Android through `adb` and iOS through `simctl` on emulators, simulators and devices. Observations use a Kotlin accessibility service and a Swift XCTestService.

Which touches are available?

Tap, swipe, pinch, drag and shake with automatic element targeting.

Can I write tests?

Yes, a scenario is described in plain language and the result runs through the Kotlin JUnitRunner or the Swift XCTestRunner, with device pooling.

Discussion

No questions or reviews yet.

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README in short

The README presents AutoMobile as a toolset for AI control of mobile devices and shows the main tasks: exploration, bug reproduction, UI tests and measurements. How it works, installation and documentation links follow.

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