"Archive of Our Own" matching MCP servers:

An MCP server that lets AI assistants manage an OpenMediaVault NAS over SSH using OMV's own RPC interface, covering disks, filesystems, shares, users, S.M.A.R.T. health, services, and configuration changes. It exposes a small set of generic tools to discover and call RPC methods, plus optional shell access.

Gives Amazon Quick Desktop real shell access outside its sandbox, running commands as your own user with login-shell environment, synchronous execution, background jobs, process-tree cleanup on timeout, and an audit log. A narrow pattern-based guard blocks a handful of destructive commands while ordinary work — including targeted recursive deletes — passes through.

A self-hosted MCP server that enables AI agents to see and control a Windows PC through screenshots, built-in Arabic/English OCR, mouse, keyboard, clipboard, and application launching, with code-enforced consent and audit logging.

MCP server for Oracle Linux OS operations, providing tools for package management, kernel, storage, network, and security tasks via dbxcli.

Enables comprehensive Windows system management through Claude Desktop, including PowerShell/CMD execution, file operations, archive handling, Git tools, network testing, and system monitoring. Provides a complete toolkit for Windows automation and administration tasks.

Enables an AI agent to see and control the screen of an already-running macOS virtual machine over VNC, exposing four tools: screenshot, click, type_text, and key_press. This lets the agent drive a disposable VM's UI directly with its own model, without touching the real desktop or running a separate agent loop.

A Model Context Protocol server that enables natural language interactive control of Universal Robots collaborative robots, allowing users to control robot motion, monitor status, and execute programs through direct commands to large language models.

Control another PC's desktop from Claude Code via MCP — screenshot, mouse, keyboard, SSH, file transfer. For GUI work SSH can't reach on a remote machine; the remote PC approves each connection. Not Remote Control of your own Claude session.

Enables MCP clients such as Claude Code, Codex and Antigravity to connect to a single always-on local service instead of spawning their own copy of every stdio server. Each window's handshake is served from cached memory with no process launched, and only on the first real call does that window get its own private server process — replayed faithfully, isolated per window, and stopped when the window closes.

Enables controlling your own Linux desktop machines from any MCP-capable LLM client, with opt-in agent capabilities for shell, filesystem, processes, screenshots, system info, and input injection.

Enables GUI automation by executing Python code with instrumented pyautogui, providing MCP-friendly output and inline screenshot delivery.

MCP server that gives Claude human-like control of a Windows PC with its own virtual cursor, an emergency stop, and a manager UI.

Enables self-hosted remote control of your own computers from Claude and ChatGPT, allowing file management, terminal access, and process control on paired machines via an outbound WebSocket relay you host.

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

Enables LLMs to list, open, and run shortcuts from the macOS Shortcuts app, including passing optional text or file input and dynamically exposing each available shortcut as its own tool.

It enables MCP-compatible AI clients to run local device, filesystem, shell, PowerShell, Git, browser, HTTP, clipboard and application actions on a Windows PC and a paired Android phone, with session-based device routing. Sensitive operations are gated behind configurable one-use approvals and recorded in a local SQLite audit.

An MCP server that lets Claude operate your real computer by moving the actual mouse, clicking, typing, and reading the actual screen, working with your own logged-in sessions in any application.

Enables AI agents to use an isolated private headless Wayland desktop where they can launch apps, take screenshots, manage windows, and drive mouse and keyboard without affecting the user's own session.

Gives AI agents their own virtual display on Windows, enabling isolated clicking, typing, and screenshots without interfering with the user's desktop.

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.