"Information or resources related to Windows" matching MCP servers:

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.

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.

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.

A lightweight server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing through various tools.

MCP server for AI to operate Windows apps via screen OCR and background input, featuring structured WhatsApp UI tools for reading chats, detecting unread messages, and sending messages without stealing focus.

Enables local Windows UI automation and screen capture, targeting windows that are difficult to automate such as games and legacy apps, with tools for window management, mouse and keyboard input, and desktop capture.

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.

A standalone MCP server for Windows desktop control, enabling screenshots, mouse and keyboard input, app launch, window/display management, and clipboard access via natural language.

Enables AI coding agents to automate Windows desktop applications through semantic UI Automation instead of brittle coordinate clicks, with tools for discovering windows, finding controls by stable identifiers, and verifying actions.

A local MCP server for controlling Windows desktop applications through Win32 automation, enabling window listing, launching, clicking, typing, shortcuts, screenshots, and folder monitoring.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

Provides desktop automation tools for Windows, enabling mouse and keyboard control, screenshots, clipboard management, and application interaction via the MCP protocol.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

A Model Context Protocol server that wraps AutoIt functionality, enabling LLMs to automate Windows desktop tasks including mouse/keyboard operations, window management, and UI control interactions.

Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.

An MCP server that gives AI agents human-like control over Windows via visual perception and simulated mouse and keyboard input, enabling automation of any application without APIs.

Minimal MCP server for sending messages to Poke via the inbound webhook.

Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.