"Tools for embedding React and React Native in Android native applications" matching MCP servers:

Connects AI agents to a running React Native app so they can see the screen, tap and type, and inspect logs, network traffic, and state without any SDK or code changes. Composite tools let an agent run a whole interaction flow in a single call instead of one round trip per tap.

Provides comprehensive React Native development assistance with expert-level automated code remediation, security vulnerability fixes, performance optimization, and production-ready code generation. Includes testing suite generation, dependency management, and accessibility compliance tools.

Enables automation and monitoring of React Native apps by providing tools to tap, swipe, screenshot, inspect component state, profile renders, and mock network requests via MCP.

Enables AI agents to inspect, log, and control React Native apps on Android emulators or iOS simulators, including UI tree, tap, scroll, and hot reload.

An MCP server providing intelligent development assistance for WaveMaker React Native projects. This tool integrates with Cursor IDE to help developers solve bugs, optimize performance, analyze code, and generate tests.

Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.

Enables testing of stateless MCP server patterns including idempotent retries, server-minted handles, and progress reporting, built with NestJS and MCP-Nest.

Enables AI agents and test runners to control Android devices via local ADB, including listing devices, tapping, swiping, typing, sending system keys, launching apps, and dumping UI hierarchy. Communicates over MCP stdio without exposing network listeners.

Provides powerful inspection and interaction tools for connected android devices or emulators.

MCP server that enables LLMs to control Android devices via ADB, providing tools for screen interaction and UI inspection.

Enables Codex to inspect, test, and control Android emulators through adb with strict typed tools, returning screenshots as native MCP images and keeping physical devices and Gradle execution behind explicit opt-in policies.

Enables coding agents to build, drive, and debug Android apps on a real device, with screenshots, UI dumps, local vision model analysis, and lock-safe Gradle builds.

Enables AI agents to interact with Android devices through UI manipulation, screen capture, touch gestures, text input, and app management via ADB. Provides comprehensive mobile automation capabilities including element detection, navigation, and application control for Android device testing and interaction.

Enables AI agents to control, inspect, and automate Android devices, Waydroid containers, and AVD emulators over ADB. Provides tools for screenshots, UI-hierarchy text-based tapping, gestures, key presses, text input, app management, and raw shell commands.

Enables AI agents to control Android devices and emulators through direct UI interaction, allowing app navigation, automated testing, and real-world task execution via ADB without computer vision or scripts.

Enables any MCP assistant to see and operate an Android phone or emulator over plain adb, reading the accessibility tree to tap elements by name and also supporting screenshots, typing, swiping, app launching and installation, and logcat — with nothing installed on the device and no root required.

Enables AI agents to control Android devices via ADB, supporting gestures, input, screenshots, UI analysis, and app management.

Enables AI agents to control the Android Emulator through adb, including booting AVDs, installing and managing apps, interacting with the UI, taking screenshots, reading logs, and more.

Enables an AI agent to drive an Android app under development on a local emulator or connected device through adb, observing the screen and performing taps, swipes, text entry, key presses, waits, screenshots, logcat and crash inspection. It is restricted to debug builds installed via Run in Android Studio, so agents can exercise only the app being developed.

A local MCP server that controls Android devices via ADB, enabling AI agents and users to manage devices, execute UI automation, and perform testing through 27 MCP tools and an optional web console.