mobile-mcp

🥇Gold

The mobile-mcp is a powerful Model Context Protocol Server designed for mobile automation and scraping across various platforms, including iOS, Android, emulators, and real devices. It streamlines mobile testing and data extraction processes, enhancing efficiency for developers and testers.

3,5532780Updated Today

Intermediate15 minutes to implementdevelopment

Saves ~100 min per use

Quick InstallView Source

claude install mobile-next/mobile-mcp

Works with:

GitHub Copilot

Overview

About This Skill

https://github.com/mobile-next/mobile-mcp/wiki

Use Cases

Automate testing of mobile applications across different devices and platforms.

Scrape data from mobile apps for analytics or research purposes.

Simulate user interactions to test app behavior under various conditions.

Evaluate app performance by running tests on multiple devices simultaneously.

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install mobile-next/mobile-mcp

Alternative Install (Git Clone)

git clone https://github.com/mobile-next/mobile-mcp

Requirements

Claude Code or compatible AI agent
Works with: GitHub Copilot

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Can you provide a detailed automation script for [COMPANY]'s mobile app in the [INDUSTRY] sector? I need to scrape data from [DATA] and automate testing for both iOS and Android platforms.

Example Output

### Automation Script for [COMPANY]'s Mobile App

#### Objective:
To scrape user data from the mobile app and automate the testing process for both iOS and Android platforms.

#### Steps:
1. **Initialize Mobile-MCP**: Set up the Model Context Protocol Server for both iOS and Android.
2. **Data Scraping**: Use the following command to extract user data:
   ```
   scrapeData('https://api.company.com/userdata')
   ```
3. **Automate Testing**: Execute the test cases for the login functionality:
   ```
   runTest('loginTest')
   ```
4. **Log Results**: Capture the results of the test execution and log them for review.

#### Expected Outcome:
The script should successfully scrape the user data and provide a report on the login test results, ensuring all functionalities are working correctly on both platforms.