"Android Studio Development Platform" matching MCP servers:

Studio MCP transforms any CLI command into an AI tool by using a simple template syntax to define input schemas and arguments. It enables AI agents like Claude and Cursor to execute local scripts and system commands through a dynamically generated Model Context Protocol server.

Lets AI agents use an Android phone: read the screen, tap, type, scroll, open apps, take screenshots and reply to notifications, with approval cards before anything is sent, posted, bought or deleted. Runs inside the Buddy app on the phone; no root, adb or PC.

Enables AI agents to interact with Android devices through visual UI element detection and automated interactions. Provides comprehensive Android automation capabilities including touch gestures, text input, screenshots, and video recording via uiautomator2.

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 Claude to see and control a real Android phone via MCP, reading the accessibility tree to tap, type, navigate, launch apps, and diagnose connectivity over ADB or cellular.

Enables coding agents to control a locally connected Android phone or emulator over ADB through MCP tools for device setup, UI inspection, taps, swipes, Unicode text input, app launching, and bounded batch actions, plus a live screen sidebar with clipboard capture.

Enables Claude to control an Android phone over ADB by viewing screenshots and UI hierarchy and performing taps, typing, key presses, app launches, alarms/timers, and notification reads, with safe-by-default access modes and gated destructive actions.

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.

Enables MCP-compatible AI agents to perceive and control an Android phone through tools for screenshots, visible text and coordinates, app/screen queries, taps, swipes, text input, key events, app launching, and interrupt/resume, closing the perception-action loop.

Enables Claude or any MCP agent to see and operate a real Android phone over adb, with fast screen reads, tap/type/swipe actions, app launching, deep links, and brand-aware setup guidance, all without admin rights or an Android SDK.

Enables interaction with Android devices and emulators through ADB, allowing control actions like tapping, text input, screenshots, UI inspection, and app launching through natural language.

Enables local AI assistant apps to connect to Spicy Studio over MCP, share a selected story or creative request, and receive a text or structured short-drama draft for review before applying it.

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 an AI client to control an Android emulator or USB device over ADB by selecting a device, inspecting the UI hierarchy, and performing taps, swipes, text entry, key presses, and app launches. It relies only on Android platform-tools and exposes a compatible tool surface for phone automation.

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.

Enables control of Android devices via ADB, allowing screenshot capture, touch simulation, and swipe gestures through natural language commands.

Enables AI clients to call the documented APIs of real business platforms—job boards, freelance marketplaces, ad networks, e-commerce, messaging, social, sales, trading and market data—through a single CLI and runtime. Serves 455 catalogued platforms with one shared verb vocabulary per category, in both Python and TypeScript.

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

MCP server that lets an AI assistant see and control an Android phone over ADB: screenshots, UI dump, tap, swipe, type, keys, open apps. Safety guards: device allowlist, sensitive-app block, raw shell off by default, rate limit.

Enables AI agents to drive a rooted Android phone using OS-reported semantics rather than screenshots or OCR: it reads a single hierarchy dump into typed, addressable controls and injects taps, swipes, and key events through a resident native daemon in tens of milliseconds. It also probes and remembers the effect of controls the OS leaves unlabeled, so subsequent screen descriptions carry learned annotations instead of guesses.

Enables AI agents to drive the local YuE Studio music creation desktop app, including guided wizards, song submission, job tracking, lyric input, cancellation, and style reference queries for composing and adapting songs.

A server enabling programmatic control over Android devices through ADB, providing capabilities like screenshot capture, UI layout analysis, and package management that can be accessed by MCP clients like Claude Desktop.

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 control and automation of Android devices using uiautomator2 and ADB. It supports UI interactions, app management, and shell command execution through the Model Context Protocol.

Enables programmatic control of Android devices via ADB, supporting UI automation, app management, screen capture with OCR, and file transfers through the Model Context Protocol. It allows MCP-compatible clients like Claude Desktop and Cursor to interact directly with physical or emulated Android devices.

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.

Provides an MCP server that lets AI agents inspect and control an Android phone over Wi-Fi or USB, including screenshot element maps, OCR, taps, typing, scrolling, app launching, notifications, clipboard, and device settings/controls.

An MCP server for managing local Android Virtual Devices (AVDs) and their lifecycles using Android SDK tools. It enables users to create, start, and stop emulators, while providing control over virtual sensors like the accelerometer and gyroscope.

A Model Context Protocol server that enables AI agents to control and automate Android devices through natural language, supporting actions like app management, UI interactions, and device monitoring.

Enables control of Android devices through ADB using natural language commands. Supports browser automation, SMS sending, device information retrieval, settings control, and common device actions like screenshots and button presses.

Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, scene rendering, and integration with the Roblox Creator Store.

Enables local OpenAI Codex or Anthropic Claude Code clients to connect to Spicy Studio, guiding client sign-in and browser-based pairing so users can share selected stories or creative briefs and receive reviewable text or structured short-drama drafts.

A local MCP server for Windows that lets stdio MCP clients control TikTok LIVE Studio via its Socket.IO protocol, providing tools for scenes, sources, audio, recording, and LIVE actions.

Enables AI agents to read, create, edit, format, theme, preview and export Apple Numbers, Keynote and Pages files on macOS through 64 tools, including deck building from outlines, design kits, design review of slides, and Spotlight file lookup. Every write is backed up and swapped in atomically with one-call undo, and Arabic/RTL content round-trips exactly.

Connects AI agents to an open Strōq World Studio tab and lets them build cycling courses using the Studio's own tools for routes, road pieces, land, landscapes, scenery, screenshots, and comments.

Enables LLM clients to slice, paint, and verify 3D prints through the installed slicer's command line for any installed Bambu printer, nozzle, and filament, with settings per object type. It never sends jobs to a printer.

Enables MCP clients to drive native CAD and 3D applications—Autodesk Fusion, Blender, and Unreal Engine—by planning work, executing trusted Python, inspecting real geometry, revising editable source files, and handing assets between applications. Each job keeps durable state, revision checks, and artifact hashes, with role-based handoffs for planning, modeling, geometry QA, interchange, and review.

Gives your AI assistant your career history: it saves and scores job postings, tailors a resume to each one from things you actually did, renders the PDF, and tracks your applications. Runs on your own computer with Maestro Career Studio, which installs with two commands on macOS, Linux and Windows.