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    Enables Large Language Models to automate macOS applications and execute AppleScript commands through natural language. It features built-in security protections including application allowlists and dangerous pattern detection to prevent unauthorized or risky system operations.
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    MIT
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    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.
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    A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.
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    Mulan Permissive Software , Version 2
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    A simple MCP server that provides waiting functionality to pause until other tasks finish, with progress reporting and support for CLI or HTTP server with SSE.
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    MIT
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    A comprehensive MCP server that exposes Frida's dynamic instrumentation toolkit to AI agents for process management, script injection, and memory operations. It provides over 50 tools to interact with local and mobile devices, enabling advanced capabilities like function hooking and memory analysis.
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    MIT
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    Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.
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    MIT
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    Enables AI assistants to manage Proxmox VE virtual machines via MCP and OpenAPI, supporting operations like start, stop, clone, and snapshot.
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    MIT
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    Provides programmatic control over Windows systems, enabling AI models to interact with the desktop through mouse movements, keyboard input, window management, screen capture, and clipboard operations.
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    A high-performance Model Context Protocol (MCP) server built for Windows. Leveraging the native Everything SDK, it provides AI models (like Claude, GPT, Gemini) with millisecond-speed file searching, statistical analysis, and disk usage insights.
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    MIT
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    Empowers AI agents to see, reason, and control computers via VNC, providing advanced vision features like OCR and image search, human-like input control, and optional SSH remote command execution.
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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