"Google Ads" matching MCP servers:

A Model Context Protocol server that enables remote management of Android devices over WiFi, including taking screenshots, listing connected devices, and retrieving device information.

A Model Context Protocol server that provides Android Debug Bridge functionality for automating Android devices, enabling remote device management, screen operations, app management, file operations, and shell command execution.

MCP server for Android device automation via ADB, enabling screen control, phone functions, app management, and device control.

MCP server for Android device management via ADB, enabling inspection and configuration of Android devices over USB or Wi-Fi.

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 AI agents to control Android devices via ADB, providing tools for screen capture, tap/swipe/input, app management, and diagnostics. Works locally over USB or WiFi and integrates with MCP clients like Claude and Cursor.

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.

MCP server for controlling Android devices over ADB, using direct commands and semantic accessibility selectors with a Kotlin helper APK.

Enables agents to read Android SMS verification codes via ADB and use them to complete web-based SMS login flows.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables MCP clients to run Google Antigravity CLI (agy) as durable, detached asynchronous jobs with a permission gate and broker-computed verdicts that do not trust agy's own exit code.

A TypeScript-based bridge between AI models and Android device functionality, enabling interaction with Android devices through ADB commands for tasks like app installation, file transfer, UI analysis, and shell command execution.

Drives an Android emulator or a physical device over adb. The agent screenshots, reads the UI hierarchy with true device-pixel coordinates, taps and types, manages app lifecycle, reads logcat, and runs Gradle builds and tests.

MCP server for controlling Android, Fire TV, and Android TV devices through ADB, enabling device management, app operations, screenshots, UI dumps, and OBS recording.

51-tool Model Context Protocol (MCP) server for Android ADB: inspect databases, capture screenshots, manage apps, edit SharedPreferences, and drive devices with AI agents.

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.

A production-ready MCP server that enables AI assistants to manage enterprise Active Directory environments through 45 specialized tools for users, groups, and GPOs. Its multi-client architecture allows for the secure management of multiple AD domains from a single codebase using natural language commands.

Enables interaction with Android devices via the Android Debug Bridge (ADB), allowing users to manage apps, files, and system permissions through natural language commands. It supports core functions like package listing, screen captures, and APK installation within MCP-compatible environments like Claude and Windsurf.

Enables AI agents to drive an Android TV or Google TV box end to end through named tools — discover, pair, connect, check, install, provision, link, test, screenshot, report and a gated shell — with usage instructions embedded in the tool descriptions so the agent never improvises adb. Every command passes the same safety gate that refuses destructive actions.