"How to remotely control a Windows PC and install software" matching MCP servers:

A safety-first MCP server enabling file inspection/editing, allowlisted command execution, process listing, and optional desktop automation. It emphasizes security with disabled writes/commands/GUI by default and local feature gates.

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Enables remote PC control and system management through MCP, including hardware info, process and file operations, with security features like blocklists and audit logging.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables Claude Desktop to control mouse, keyboard, and clipboard on Windows, allowing AI-driven computer interaction tasks like clicking, typing, scrolling, and screenshotting.

AI-powered PC management system with 80+ MCP tools for Cursor, Claude, and other AI agents.

Enables ChatGPT to run commands and inspect files, system info, and other tasks on a user's own Windows PC through a private self-hosted connector, with local approval required for each action unless configured otherwise.

Enables AI clients to connect by URL, approve once, and then call dozens of native tools to drive a Windows machine — mouse and keyboard input, screenshots, native dialogs, and shell commands. Access is controllable end to end, with live session counts, scoped and rotatable keys, per-path toggles across relay, tunnel, tailnet, or web dashboard, and one-click revocation.

MCP server enabling voice-controlled Windows PC automation via Xiaozhi AI, supporting 200+ apps, media playback control, and terminal command execution.

MCP server that enables AI agents to control Windows by clicking, typing, and navigating with a visible cursor overlay, using a layered approach (native UIA, browser CDP, pixel fallback) for reliable interaction.

Enables a local Windows MCP gateway to a KeyAI Agent Host, exposing DesktopCommanderMCP-compatible terminal tools and policy-controlled action review via stdio.

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 LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

MCP server that captures a Windows application's pixels and bounded UI Automation tree with provider-exposed text for Codex inspection. It supports capture, listing, retrieval, and watcher control commands.

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.

An MCP server that lets supported AI clients like ChatGPT and Claude use locally authorised Windows tools, files, project tasks, commands, and local state, with configurable per-client authority and global access modes.

Enables control of Windows PC through Claude Desktop, including executing shell commands, managing system resources, controlling audio/power, launching applications, taking screenshots, and managing windows and processes.

Provides comprehensive PC control capabilities including file operations (read, write, edit, delete), directory management, file search, and shell command execution through the Model Context Protocol.