"Android Studio Development Platform" matching MCP servers:

Lets AI coding agents build, test, and lint Android projects with Gradle, control devices and emulators via adb, automate UI through screenshots and input injection, and use a live IDE bridge for refactoring, code inspection, and run configurations. Works with any MCP client over stdio or authenticated HTTP.

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.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

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 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.

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.

MCP server for Android emulator automation via ADB.

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.

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.

A powerful MCP server that provides comprehensive Android device automation capabilities through ADB, enabling AI agents to interact with Android devices for testing, automation, and device control tasks.

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 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 Claude Code to read and write issues on the Testing Platform via natural language, including listing projects, filtering issues, creating and updating issues, and adding comments.

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 capturing screenshots from Android devices over WiFi for UI debugging and visual inspection during app development.

21-tool Android device control via ADB — screenshots with compression, UI tree inspection, touch automation, logcat, and compound actions like tap-and-wait.

Enables control of Android devices via ADB for automation and testing. Supports app management, screen capture, UI analysis, and input simulation through natural language commands.

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.

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

A production MCP integration that lets AI agents control Roblox Studio to autonomously build, test, and debug Roblox games. Provides 39 tools for explorer control, script management, terrain generation, and autonomous testing.

Enables AI agents to bootstrap a self-contained Android SDK and headless emulator from scratch, then debug and test apps through 25 tools covering screenshots, UI-tree inspection, tapping/typing, APK install and launch, shell/file transfer, settings, and logcat. All downloads and emulator state live inside the project folder, so deleting it fully uninstalls the environment.

Enables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.

Enables an AI agent to safely drive Android emulators for app testing, including installing and launching apps, inspecting screens, tapping labeled UI elements, capturing screenshots, and running Flutter integration tests with strict device, argument, and job safeguards.

Enables AI coding agents to build, test, lint, and debug Android projects with concise Gradle output, filtered logcat, and connected-device inspection and interaction. It also supports setup across several agent clients and caps noisy output to save tokens.

A Model Context Protocol server that enables AI assistants to interact with Android devices through ADB, allowing for automated device management, app installation, file transfers, and screenshot capture.

Enables LLM agents to drive real Android devices or emulators by reading the live accessibility tree, acting on UI nodes instead of coordinates, verifying every action, and typing Unicode text.

MCP server for Android Emulators to have easier experience with LLMs

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.

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 Android UI automation tools via MCP, enabling device interaction, UI snapshot, and gesture recording.

Unified MCP server for Xcode + iOS Simulator — build, deploy, screenshot, and interact with your iOS app from Claude Code, Cursor, or any MCP client. Built in Swift. Single binary. No Node/Python runtime required.

Enables AI agents to create, edit, read, and run Bruno API collections (both .bru and .yml formats) with byte-parity to Bruno's own reader, without requiring the Bruno CLI.

An MCP server designed for Android development, enabling AI assistants to directly control Android devices for screenshots, UI analysis, app management, and more.