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  • A
    license
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    quality
    A
    maintenance
    Enables AI agents to see and control Android devices through ADB and screen mirroring, supporting screen capture, touch input, app management, UI element finding, file transfer, shell commands, clipboard access, and audio/video streaming.
    365 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to see and control Android devices through ADB and scrcpy, including screenshots, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, audio/video streaming, and clipboard access.
    365 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables MCP-compatible AI assistants to see and control Android devices through ADB and a fast device-control protocol, including screenshots, touch input, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.
    365 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Gives MCP-compatible AI assistants vision and control over Android devices — capturing screenshots, tapping, swiping, typing, launching apps, inspecting UI elements, streaming audio/video, transferring files, and running shell commands over ADB, with a fast binary control protocol for near-instant input and screenshots.
    365 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to visually perceive and directly control Android devices via ADB and screen-control tooling, including screenshots, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.
    365 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to see and control Android devices, with fast input, screenshots, UI element discovery, app and file management, shell access, and audio/video streaming or recording.
    365 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to see and control Android devices through ADB and scrcpy, with tools for screenshots, input, UI automation, app management, shell commands, files, clipboard, and audio/video streaming.
    365 npm
    MIT
  • A
    license
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    quality
    B
    maintenance
    This server gives AI clients a persistent, isolated Linux container in which the model can run any bash command as root with internet access, install packages and start long-running processes without command filtering. Files produced inside it can be handed back to the user as signed, expiring public download links suitable for PDFs, images, audio and video.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to see and control Android devices via ADB and scrcpy, supporting screenshots, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.
    365 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to see and control Android devices through ADB and scrcpy, including screenshots, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, audio/video streaming, and clipboard operations.
    365 npm
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.
    30
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Connects MCP-compatible AI assistants to Android devices, letting them see the screen and act on it through screenshots, taps, swipes, typing, app and UI management, shell commands, file transfer, and clipboard access. It routes interaction through scrcpy's control protocol for fast input and near-instant screen captures, falling back to ADB when no session is active, and adds audio/video streaming and recording.
    365 npm
    MIT