Windows Computer Use MCP for AI Agents: Click, Type, Screenshot, OCR

Windows Computer Use MCP for AI Agents

This repository provides a suite of MCP (Machine Control Protocol) tools designed to empower AI agents to interact with the Windows operating system. Built for developers, these tools enable autonomous execution of tasks by allowing AI agents to control mouse clicks, keyboard input, capture screenshots, and perform Optical Character Recognition (OCR) on screen content. The integration of an autonomous mission engine further enhances the capabilities, allowing for complex, multi-step operations without direct human intervention.

What it Does

The Windows Computer Use MCP suite allows AI agents to programmatically interact with the graphical user interface (GUI) of Windows applications. This includes simulating user actions like clicking buttons, typing text into fields, and navigating menus. It also provides essential capabilities for AI agents to understand the visual state of the screen through screenshotting and OCR, extracting text from images to inform decision-making. The autonomous mission engine orchestrates these actions to achieve predefined goals.

Key Features

• Click and Type Simulation: Programmatically control mouse clicks and keyboard input to interact with any Windows application.
• Screenshot Capture: Obtain visual representations of the screen for analysis by AI agents.
• Optical Character Recognition (OCR): Extract text content from captured screenshots, enabling agents to read and understand on-screen information.
• UI Inspection: Tools for identifying and interacting with specific UI elements within applications.
• Autonomous Mission Engine: Facilitates the creation and execution of complex, multi-step AI agent tasks.

Who it's For

This toolset is specifically designed for AI developers and researchers working on building autonomous agents that require interaction with the Windows desktop environment. It is ideal for projects involving:

• Automated software testing on Windows.
• AI agents for task automation within desktop applications.
• Developing AI assistants that can navigate and operate Windows software.
• Research into embodied AI agents that interact with a visual interface.