mobitru-mcp-server-beta
v1.0.6
Published
Mobitru MCP Server - Bundled distribution for mobile device automation and web browser testing with Mobitru cloud platform
Maintainers
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Mobitru MCP Server
Main Features
- 🚀 Fast and lightweight: Uses native accessibility trees for most in## Installation and Configuration
Setup Mobitru MCP Server with Cursor, Claude, VS Code, GitHub Copilot:
Mobile Server
{
"mcpServers": {
"mobitru-mobile": {
"command": "npx",
"args": ["-y", "mobitru-mcp-server", "mobile"]
}
}
}Playwright Server
{
"mcpServers": {
"mobitru-playwright": {
"command": "npx",
"args": ["-y", "mobitru-mcp-server", "playwright"]
}
}
}Claude Desktop Configuration
For mobile automation:
claude mcp add mobitru-mobile -- npx -y mobitru-mcp-server mobileFor web/browser automation:
claude mcp add mobitru-playwright -- npx -y mobitru-mcp-server playwright- 🤖 LLM-friendly: No computer vision model required in Accessibility (Snapshot).
- 🧿 Visual Sense: Evaluates and analyses what's actually rendered on screen to decide the next action. If accessibility data or view-hierarchy coordinates are unavailable, it falls back to screenshot-based analysis.
- 📊 Deterministic tool application: Reduces ambiguity found in purely screenshot-based approaches by relying on structured data whenever possible.
- 📺 Extract structured data: Enables you to extract structured data from anything visible on screen.
- 🧪 Test Execution: Run Appium (mobile) and Playwright (web) test scripts directly on Mobitru cloud infrastructure.
Benefits
- ✅ Real device testing without local setup
- ✅ Parallel execution across multiple devices/browsers
- ✅ Built-in video recording and artifacts
- ✅ Cross-platform compatibility testing and Automation
This is a Model Context Protocol (MCP) server that enables scalable mobile automation and development through Mobitru's cloud platform. This server allows Agents and LLMs to interact with native iOS/Android applications, desktop browsers, and mobile devices through structured accessibility snapshots or coordinate-based taps based on screenshots.
