"MCP to Control CAD Tools for Building Models and Automating Manufacturing" matching MCP servers:

Provides native macOS desktop automation for AI agents, enabling screen capture, mouse/keyboard control, window management, and iOS/Android simulator control in both foreground and background modes without focus stealing.

An MCP server for managing SearXNG instances, enabling configuration inspection, engine toggling, health checks, and container lifecycle control.

Provides Docker management tools for AI agents, including inspecting containers, images, Dockerfiles, and Compose configurations.

Enables agents to manage and operate macOS VM workspaces through authenticated MCP tools, including lifecycle control, command execution, job monitoring, and access to desktop connection and guest login details.

MCP server that turns natural-language requests into configured n8n workflows and safely operates a local n8n Docker stack, including workflow management, API access, and Docker lifecycle operations with confirmation-based safety.

Provides read-only, governance-audited operations for OLVM and oVirt 4.5 engines, enabling inventory, health, capacity, and diagnosis queries over MCP and CLI with audit logging and budget guards.

AI-powered MCP server for managing Proxmox VE VMs and containers with built-in governance, audit logging, and reversibility.

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 AI assistants to manage Coolify infrastructure including servers, applications, databases, deployments, and 80+ one-click services through 98 comprehensive tools for both cloud and self-hosted instances.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Enables AI agents to control local Android virtual devices managed by DroidLume, including device lifecycle, app management, UI input, screenshots, and diagnostics through structured MCP tools.

Enables AI assistants to interact with Ubuntu VMs via SSH, including executing commands, simulating keyboard/mouse input, capturing screenshots, and controlling GUI applications remotely.

Governed XCP-ng operations via Xen Orchestra REST — VM-health, SR-usage, backup-failure, and patch-state RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

AI-powered Veeam Backup & Replication operations MCP server with tools for managing jobs, restores, sessions, and repositories, featuring built-in governance, audit logging, and safety controls.

Governed Kubernetes operations for AI agents with 15 MCP tools, audit logging, policy engine, and safety features.

Governed AI-ops MCP server for Nutanix Prism Central v4 REST API, offering 47 read/write tools for clusters, VMs, storage, network, catalog, data protection, alerts, and LCM upgrades with built-in audit, budget, and risk-tier governance.

Governed Docker + Portainer container-host operations (non-Kubernetes) — restart-loop, resource-pressure, and image/volume-bloat RCA, with guarded lifecycle writes, unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Enables AI agents to control GNS3 network emulation labs. Supports building topologies, managing devices, capturing packets, and automating device CLIs.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

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

MCP server for Pterodactyl and Pelican game server panels. 73 tools for server management, power control, file operations, backups, schedules, databases, users, nodes, and eggs.

Enables AI assistants to remotely control Sipeed NanoKVM hardware for BIOS-level management of servers and headless machines. It provides tools for power control, keyboard and mouse emulation, screen capture, and ISO image mounting via the Model Context Protocol.

Control and automate FlexSim simulations through AI assistants like Claude, enabling manufacturing and warehouse digital twin analysis, parameter studies, and real-time model manipulation via tools for opening models, running simulations, evaluating FlexScript, and exporting results.

An MCP server for automating virtual or physical Android devices using the Gbox SDK. It enables users to manage app installations, capture screenshots, and perform complex UI actions through natural language instructions.

Enables AI agents to connect to and control a Virtual Private Server via SSH. It provides a comprehensive suite of tools for remote file system operations, session management, and shell command execution.

An MCP server that allows AI agents to remotely control Windows, Linux, and macOS systems via VNC. It provides tools for mouse and keyboard interaction, text input, and screen capturing.

MCP server for Cisco Modeling Labs (CML) that enables building, managing, and running network labs through MCP tools, wrapping the CML Python SDK for lab/topology CRUD, node/link management, and configuration.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

Enables AI assistants to manage Docker containers and Kubernetes resources through natural language, supporting operations like container management, image building, and pod/deployment/service management.