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

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

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

Pluggable local agent capability hub that gives web-based DeepSeek local Agent capabilities (MCP/file operations/skills/desktop automation) and lets local agents reuse the same tools.

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.

Lets an AI assistant look after Android TV boxes, phones and watches over ADB: find devices on the network, see the screen, tap and type, install apps. Package changes are dry-run first, with a protected set read off the device and one-call rollback.

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

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.

Enables AI agents to control Android TVs, TV boxes, phones, and tablets over ADB through MCP tools for scanning and connecting devices, pressing keys, launching apps, opening URLs, searching YouTube, setting alarms and timers, managing volume and power, checking state, and capturing screenshots.

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 stateless, pure-visual control of Android devices and emulators through adb shell, providing screen capture, coordinate-based taps, swipes, keyboard input, and arbitrary adb command execution for agent-driven interaction.

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.