Android AI Agent Skills

Mobile-first design and engineering doctrine for iOS and Android apps. Covers touch interaction, performance, platform conventions, offline behavior, and mobile-specific decision-making. Teaches principles and constraints, not fixed layouts. Use for React Native, Flutter, or native mobile apps.

This is a Model Context Protocol (MCP) server that enables scalable mobile automation, development through a platform-agnostic interface, eliminating the need for distinct iOS or Android knowledge. You can run it on emulators, simulators, and real devices (iOS and Android). This server allows Agents and LLMs to interact with native iOS/Android applications and devices through structured accessibil

Let AI agents see, understand, and interact with your React Native app running on Android emulator or iOS simulator — through a single MCP server. Point your MCP client at this server and an agent can connect to your app, read logs, inspect the UI, tap buttons, type text, scroll, take screenshots, and reload — all without leaving the conversation. - Android + iOS — one server handles both platform

A JetBrains IDE plugin that exposes an MCP (Model Context Protocol) server, enabling AI coding assistants like Claude, Codex, Cursor, and Windsurf to leverage the IDE's powerful indexing and refactoring capabilities. Fully tested: IntelliJ IDEA, PyCharm, WebStorm, GoLand, RustRover, Android Studio, PhpStorm May work (untested): RubyMine, CLion, DataGrip IDE Index MCP Server provides AI coding assi

A JetBrains IDE plugin that exposes an MCP (Model Context Protocol) server, giving AI coding assistants full programmatic control over the debugger. Set breakpoints, step through code, inspect variables, and evaluate expressions—all driven autonomously by your AI assistant. Fully tested: IntelliJ IDEA, PyCharm, WebStorm, GoLand, RustRover, Android Studio, PhpStorm May work (untested): RubyMine, CL

Control Android devices with AI through the Model Context Protocol DroidMind is a powerful bridge between AI assistants and Android devices, enabling control, debugging, and system analysis through natural language. By implementing the Model Context Protocol (MCP), DroidMind allows AI models to directly interact with Android devices via ADB in a secure, structured way. When used as part of an agen

AutoMobile is a set of tools for mobile automation. You can use it for UI testing or as a development workflow The first platform supported is Android with plans to extend to iOS. - 🔧 Powerful MCP Server: AutoMobile provides comprehensive actions through MCP tool calls with a fast observations to drive the interaction loop. - 🗺️ Source Mapping: Combining project path config with deep view hierar

⚡ Fully automated MCP server + JADX plugin built to communicate with LLM through MCP to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, analyze APK, and reverse engineer effortlessly. Thanks to these wonderful people for their contributions ⭐ ljt270864457 LilNick0101 - Read The Docs is now live: https://jadx-ai-mcp.readthedocs.io/en/latest/ JADX-AI-MCP is a plugin for the JA

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An Android application that runs as an MCP (Model Context Protocol) server, enabling AI models to fully control an Android device remotely using accessibility services and screenshot capture. The app runs directly on your Android device (or emulator) and exposes an HTTP server (with optional HTTPS) implementing the MCP protocol. AI models like Claude can connect to it and interact with any app on

Material Design 3 and Android platform guidelines. Use when building Android apps with Jetpack Compose or XML layouts, implementing Material You, navigation, or accessibility. Triggers on tasks involving Android UI, Compose components, dynamic color, or Material Design compliance.

⚡ Fully automated MCP server built on top of apktool to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly. Image generated using AI tools. apktool-mcp-server is a MCP server for the Apk Tool that integrates directly with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude. Think: "Dec