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This project is a Model Context Protocol server and automation framework designed to control and automate iOS and Android devices. It provides a unified API that abstracts interactions between physical hardware and simulators across different mobile operating systems, functioning as a cross-platform device bridge.
The main features of mobile-next/mobile-mcp are: Mobile Device Automation, Cross-Platform Device Managers, Model Context Protocol Servers, Screen Capture Tools, Device Connection Management, Device Enumeration, Application Lifecycle Management, Visual State Analysis.
Projects with overlapping indexed features include: mobile-dev-inc/maestro — Maestro is a declarative mobile and web UI automation framework designed for end-to-end testing. It operates by… mortenjust/androidtool-mac — This is a desktop application for managing connected Android and iOS devices. It serves as a cross-platform tool for… firerpa/lamda — This project is an Android RPA framework designed for automating user interfaces and system tasks on rooted Android… cursortouch/windows-mcp — This is a Model Context Protocol server that exposes Windows desktop automation and system administration functions to… agentdeskai/browser-tools-mcp — This project is a browser automation toolset and Model Context Protocol server that connects large language models to… executeautomation/mcp-playwright — This project is a Model Context Protocol server that enables Large Language Models to control Playwright browsers for…
Maestro is a declarative mobile and web UI automation framework designed for end-to-end testing. It operates by querying the native accessibility tree of an application, allowing for black-box testing without requiring source code instrumentation or platform-specific dependencies. The framework distinguishes itself through a unified command syntax that abstracts interactions across Android, iOS, and web environments. It features a dynamic synchronization engine that automatically pauses test execution to account for non-deterministic animations and network-dependent content loading, ensuring
This is a desktop application for managing connected Android and iOS devices. It serves as a cross-platform tool for sideloading application packages, capturing device screens, collecting system diagnostic bug reports, and executing shell scripts. The project distinguishes itself by providing a unified interface for both mobile operating systems. It enables the simultaneous recording of video and taking of screenshots from multiple devices to local storage, and allows for the execution of custom bash scripts across one or many connected hardware targets. The software covers several operation
This project is an Android RPA framework designed for automating user interfaces and system tasks on rooted Android devices using Python and ADB. It provides a suite of tools for rooted device management, allowing for programmatic control of system settings, application lifecycles, and shell command execution via a remote API. The framework distinguishes itself through a combination of dynamic instrumentation and AI integration. It can inject scripts into running processes to hook Java interfaces and modifies application behavior in real time. Additionally, it supports large language model in
This is a Model Context Protocol server that exposes Windows desktop automation and system administration functions to large language models. It provides programmatic control of mouse, keyboard, windows, and UI elements on Windows through simulated user input, while also enabling LLMs to manage the Windows registry, processes, files, and execute PowerShell commands through a remote interface. The server supports multiple transport protocols including stdio, SSE, and streamable HTTP, allowing flexible integration with different language model clients. It implements OAuth 2.0 with PKCE for secu