nutjs-windows-control MCP Server

Introducing MCPControl: A Windows Control Server for Model Context Protocol

If you're exploring innovative ways to control your Windows system programmatically, MCPControl is a powerful MCP Server designed for you. This experimental tool enables AI models to manage system operations like mouse, keyboard, window management, and screen capture, offering unique automation possibilities for tech enthusiasts and developers.

What is MCPControl?

MCPControl is a Windows-only control server built for the Model Context Protocol (MCP). Initially developed as an experiment to test AI capabilities in gaming, it has recently gained community interest, pushing active development toward a stable release. Despite its pre-release status, it offers robust features for system control.

Key Features of MCPControl

• Window Management: List, focus, resize, and reposition windows effortlessly.
• Mouse Control: Handle mouse movements, clicks, scrolls, and drags.
• Keyboard Control: Input text, manage key combinations, and simulate key presses.
• Screen Operations: Capture screens and retrieve screen size or active window data.
• Clipboard Integration: Access, set, or clear clipboard content with ease.

How to Use MCPControl

Getting started with MCPControl is simple. Configure your MCP settings to integrate this server as outlined in the project documentation. No installation is required—just ensure you're on a Windows system and restart your MCP client to access the service. For developers, building from source is also an option with detailed instructions available.

Use Case for MCPControl

Imagine automating repetitive tasks or testing AI-driven interactions in a controlled environment. MCPControl is ideal for developers experimenting with AI system control or tech enthusiasts exploring automation.

FAQ About MCPControl

• Is MCPControl safe to use? It's experimental and risky; use in controlled settings only.
• Does it support non-Windows systems? No, it's Windows-only for now.
• Where can I report issues? Use the project's issue tracker on GitHub.

Explore MCPControl today and unlock new automation potentials, but remember to proceed with caution!