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    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.
    9
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    Enables mobile device automation for Android (via ADB) and iOS Simulator (via simctl), allowing you to control devices with natural language through screenshots, UI interactions, text input, and app management.
    14
    852 npm
    378
    MIT
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    A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.
    2
    MIT
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    Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.
    21
    MIT
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    A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).
    107
    MIT
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    Exposes Android device automation tools to MCP clients, letting AI agents inspect UI trees, interact with elements, launch/stop apps, run shell commands, transfer files, and manage events/tasks over adb/uiautomator2 without installing anything on the device.
    60
    MIT
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    Enables MCP clients to discover desktop applications with structured metadata and receive native accessibility trees and screenshot content through Open Computer Use, preserving upstream tool results and image blocks.
    MIT
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    Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.
    17 npm
    15
    MIT
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    Enables AI assistants to control mobile and desktop devices with natural language, including running automation tasks, taking screenshots, and managing devices.
    6
    5 npm
    MIT
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    macOS automation for AI assistants: 17 typed tools for window management, application menus, keyboard input, clipboard, browser tabs, screenshots, displays and Apple Shortcuts, driven through AppleScript and JXA. Menu clicks are self-correcting — a wrong item returns the actual menu contents so the model can retry with the right one.
    17
    28 npm
    12
    MIT
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    Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.
    24
    21 npm
    7
    MIT
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    A local MCP server that exposes Mobile AI Agent capabilities from the WebADB browser as MCP tools, allowing external AI clients like Qoder and OpenClaw to control connected phones through natural language tasks, screenshots, device status, and memory management via a WebSocket relay.
    9
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