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mobile mcp

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Basic Information

Mobile MCP is a Model Context Protocol server designed to enable scalable mobile automation and development across iOS and Android devices, simulators, emulators, and physical hardware. It provides a platform-agnostic interface so agents and LLMs can interact with native mobile applications without requiring separate knowledge of iOS or Android internals. Interactions are driven by structured accessibility snapshots when available, or coordinate-based actions derived from screenshots when accessibility data is absent. The server is intended to be integrated into agent clients and IDEs that support the MCP standard, enabling automated testing, scripted data entry, multi-step user journeys controlled by LLMs, and agent-to-agent workflows. Installation is typically via the provided npm package entry point and requires standard mobile development tooling and Node.js. Documentation, wiki pages, example prompts, and a public roadmap are provided to help developers configure and run the server.

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App URL
https://github.com/mobile-next/mobile-mcp
Github Repository
https://github.com/mobile-next/mobile-mcp/blob/main/README.md

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App Details

Features
Mobile MCP emphasizes fast, lightweight automation by using native accessibility trees for most interactions and falling back to screenshot-based coordinates when needed. It is LLM-friendly and does not require dedicated computer vision models to operate with accessibility snapshots. The project offers visual sense capabilities to analyze rendered screen content and choose appropriate actions. Deterministic tool application reduces ambiguity present in pure screenshot-based approaches. The server can extract structured data from visible UI, support headless operation on emulators and simulators, and connect to physical devices with proper platform tools. It integrates with MCP-enabled clients and IDEs and includes example prompts for complex workflows like app installs, form fills, messaging, calendar events, and multi-step navigation. The repo includes a roadmap and wiki for configuration, debugging, and usage guidance.
Use Cases
This project helps teams scale mobile automation by providing a reusable, agent-friendly bridge between LLMs and real mobile environments. It enables automated testing, reproducible data-entry tasks, UI validation, and multi-step workflows without manually operating simulators or physical devices. By prioritizing structured accessibility data and offering screenshot fallbacks, it reduces ambiguity and increases determinism for agent-driven actions. Integration with MCP clients and IDEs allows developers and AI assistants to instruct device interactions, validate business logic, and iterate on UI interactions quickly. Headless emulator support and compatibility with common mobile toolchains make it suitable for CI workflows, remote testing, and agent orchestration across many device types. The server also supports extracting structured information from app screens to feed downstream automation or data collection pipelines.

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