"Evaluating an Expo Go App and Associated React Native Code in an Android Emulator" matching MCP servers:

MCP server for Android emulator automation via ADB.

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.

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.

Enables AI assistants to interact with Android devices and emulators via ADB, providing tools for screenshots, UI inspection, touch and text input, app management, and device control.

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 an AI to see and operate an Expo / React Native app without an emulator, phone, or browser using real screenshots, taps, typing, scrolling, and automated bug hunting, with optional Android and iOS device control.

Enables an agent to inspect and interact with Android emulators or physical devices via ADB, capturing UI snapshots, tapping nodes, typing text, and reading app logs.

Enables automated testing and development of Expo/React Native apps through session-based Expo dev server management and Maestro UI automation tools for tapping, text input, screenshots, and flow execution.

Lets MCP-capable AI agents control an Expo / React Native app running live in Expo Go on a real phone, reading a compact token-cheap outline of the visible screen and performing taps, text entry, scrolling, toggles and navigation. Also exposes screenshots, layout, console logs, network requests and hardware keys, and attaches new JS errors and failed requests to the action that caused them.

Enables coding agents to open the same web page across persistent mobile, tablet, and desktop viewports, interact with it, capture screenshots, inspect the accessible DOM, and run responsive layout audits without losing state between calls.

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.

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

Enables AI assistants and automation agents to interact with Cisco CUCM Emulator instances through dynamically generated tools for telephony operations, call simulation, routing policies, CDR buffers, and optional offline mock state.

Local MCP server for Android emulator control, exposing tools to get emulator status, inspect UI tree, capture screenshots, and open App settings via Appium and ADB.

An MCP server that gives coding agents hands and eyes on an Android device, providing 19 tools for building, testing, installing, UI inspection, input, logs, and toolchain diagnosis. It returns concise, structured results to make the build-debug loop efficient.

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.

A local, stdio-only Model Context Protocol server that lets coding agents inspect, control, and test Apple iOS Simulators and Google Android Emulators. It exposes 29 typed tools for device lifecycle, app management, UI automation, screenshots, logs, permissions, location, and platform-specific test conditions.

An MCP server for automating virtual or physical Android devices using the Gbox SDK. It enables users to manage app installations, capture screenshots, and perform complex UI actions through natural language instructions.

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.

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.

A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.

Enables AI agents to control Android devices through natural language, supporting app management, UI interaction, gestures, and system operations via uiautomator2.

Enables AI agents to inspect why React components re-rendered, replay recorded browser interactions as performance scenarios in headless Chrome, and verify fixes against performance budgets.

Provides 23 Android development tools for Gradle builds, emulator/device lifecycle, APK install/launch, screenshots, logs, ADB and UI Automator automation, along with an android-dev skill for guided workflows.