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"A server for running MCP apps on Windows and Mac" matching MCP servers:

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    Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.
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    GPL 3.0
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    Enables AI assistants to automate macOS through AppleScript and JXA by providing 44 tools for application management, window control, and UI interaction. It allows for comprehensive system control including screen capture, keyboard and mouse simulation, and system information retrieval.
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    MIT
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    Enables AI agents to interact with macOS applications (Finder, Mail, Contacts, Reminders, Notes, Calendar, TextEdit) using AppleScript. Allows AI assistants to perform tasks like searching contacts, managing files, checking email, and creating reminders through natural language.
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    MIT
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    An MCP server designed for managing files and folders specifically on the Windows Desktop. It enables users to perform file operations like deletion while implementing security measures to prevent path traversal outside the Desktop directory.
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    MIT
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    Enables interacting with YouTube Data API v3 through MCP tools (get-video, get-channel, get-latest-video) and bundled UI apps for video and channel profiles.
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    MIT
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    An enterprise-grade automation server that enables AI assistants to control Windows PCs through intelligent UI element detection, window management, and system-level commands. It leverages the Windows UI Automation tree for reliable interaction, providing tools for mouse/keyboard control, application management, and high-performance screen state analysis.
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    MIT
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    A lightweight open-source server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing without requiring computer vision.
    Last updated
    6,309
    MIT
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    A lightweight server that enables AI agents to interact natively with the Windows operating system for tasks like UI automation and application control. It allows LLMs to perform file navigation, simulate user input, and manage windows without requiring specialized computer vision models.
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    MIT
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    Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.
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    MIT
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    Windows integration MCP server that enables Claude to interact with Windows system features including media playback control, notification management, window operations, screenshots, monitor control, theme settings, file opening, and clipboard access.
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    MIT