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

Enables AI coding agents to work inside a disposable Windows guest desktop, where they can run shell commands, launch applications, inspect and operate native GUI controls, perform browser DOM actions, and transfer files. Fresh observations, PNG screenshots, and hashed artifacts let agents verify results without touching the host desktop.

Enables MCP-compatible agents to lease and control a portable Windows 11 CTF VM, including guest command execution, file transfer, and VM lifecycle operations through Quickemu and the QEMU guest agent.

Read-only observability MCP for Windows, WSL, Docker, and WSLC.

Connects AI agents to microsandbox for creating lightweight sandboxes, executing code, managing files, and monitoring resources.

Enables an LLM agent to control a Windows guest in VMware Workstation, including power and snapshot management, kernel debugging via KDNET or serial, real-time terminal access, file transfer, and console screenshots, with synchronized state across tools.

Enables AI assistants to manage VNG Cloud infrastructure including compute, storage, networking, and Kubernetes resources through natural language commands.

MCP server that discovers Korean e-Government and financial websites and launches them in a clean disposable Windows Sandbox (or macOS macSandbox) without requiring security software installation. It handles search and sandbox execution, leaving authentication and actual tasks to the user.

A lightweight MCP server that enables natural language interaction with Kubernetes clusters, allowing management of pods, deployments, namespaces, and cluster resources through conversational queries or API endpoints.

Enables AI assistants to manage OpenStack cloud resources including compute, images, identity, network, and block storage via the Model Context Protocol.

An MCP server that enables interaction with Kubernetes/Minikube clusters through natural language, allowing AI agents like Codename Goose to manage Kubernetes resources via the Model Context Protocol.

Enables AI models to securely query and manage virtual machines and virtualized resources via the libvirt API through the Model Context Protocol.

Enables controlling an Ubuntu desktop VM over SSH: run shell commands, open real terminal windows, drive the mouse and keyboard, manage windows, transfer files, and capture genuine screenshots of the screen or a single window. Intended for GUI-dependent work such as security experiments, vulnerability reproduction, form filling, and report illustrations.

Enables remote Docker management over SSH via a local MCP server, providing tools to manage containers, images, Compose, and system resources.

An MCP server that gives an LLM full control over a VMware-hosted Windows VM: lifecycle, snapshots, remote execution, file transfer, and kernel debugging.

Enables AI agents to manage virtualization, Active Directory, Windows hosts via WinRM, PostgreSQL databases, and shell/SSH environments through Model Context Protocol tools.

This MCP provides comprehensive tools and resources for MSX software development, testing, and automation through openMSX emulator.

An MCP server that enables interaction with Kubernetes resources through natural language interfaces like Goose CLI, allowing users to get, read, and patch Kubernetes resources.

FastAPI implementation of MCP server that interacts with Nutanix Prism Central to retrieve cluster and virtual machine information.

Connects AI assistants to Linode cloud infrastructure, enabling the management of compute instances, databases, and networking resources through natural language. It provides a comprehensive suite of tools for resource orchestration, monitoring, and account management using stdio, SSE, or HTTP transports.

Exposes VMware vROps resources, metrics, and alerts as MCP tools, allowing an LLM client to directly query monitored infrastructure.

Enables managing Proxmox Virtual Environment resources including VMs, containers, storage, cluster status, nodes, and tasks.

Enables managing Docker containers and Portainer resources through natural language, supporting stack deployment, container operations, and environment monitoring.

A code-mode MCP server for the Unraid 7.2+ GraphQL API that exposes search and execute tools, allowing LLM agents to introspect and call any GraphQL field via sandboxed JavaScript.

Enables an AI agent to view and control VMware vSphere VM consoles—screen, mouse, and keyboard—through vCenter, without installing anything in the guest.

Enables AI agents to inspect pending updates and service health for Proxmox VE VMs and containers, then take snapshots, apply official updates, reboot, and roll back under tag-based permissions and human-confirmed risky actions.

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.

Enables AI coding agents to safely run commands, install dependencies, test, and modify code inside disposable, policy-enforced Docker sandboxes isolated from the host, returning results and diffs.

A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.

VMware workflow orchestration — multi-step state machine with approval gates, audit logging, and conditional execution. Coordinates cross-skill workflows like clone-and-test or compliance-scan-and-remediate across the VMware MCP skill family.

Enables LLM agents to control NVIDIA Run:AI infrastructure by dynamically searching and executing over 426 Run:AI APIs through MCP tools.