"A calculation query multiplying 198766 by 667891" matching MCP servers:

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables LLM agents to monitor Mac thermals and control fan speed with safety limits enforced by a root daemon.

Enables AI agents to query Windows process, window, and console information via structured JSON instead of screenshots, reducing token usage by 94-98%.

Enables AI agents to safely query and manage Windows services, processes, event logs, and system information, with write actions disabled by default.

A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.

Enables a computer-use agent to see and drive one isolated, sandboxed Linux desktop by exposing Anthropic's computer toolset actions alongside launching apps and listing windows, with screenshots scaled to a 1280-pixel longest side. It runs as a stdio MCP server scoped to a single screen and authenticated by an agent token.

Enables an AI assistant to control a computer locally by viewing screens or windows, moving the mouse, clicking, dragging, scrolling, typing, pressing hotkeys, and using the clipboard.

Enables localized macOS control by letting users grant temporary, window-scoped access for screen capture, pointer, keyboard, scrolling, clipboard, and Accessibility actions through a native host.

Provides MCP tools to search and explore a locally stored screen history, query app/window activity, and manage recording controls such as pause and deletion.

This MCP server integrates with a Windows tray app that reminds users to take breaks, providing tools to query status, start breaks, snooze reminders, pause reminders, view daily stats and summaries, update settings, and acknowledge reminders via stdio over a named pipe.

Cross-platform system automation tool enabling AI to control mouse, keyboard, screen, windows, and query system info via MCP.

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

Enables AI agents to verify a human is physically present by ejecting the PC's optical drive tray and detecting when a person manually closes it within a configurable timeout.

Lets an MCP client see and control apps on a local X11 Linux desktop by clicking, typing, scrolling, dragging, and pasting text, with a visible Stop control that returns input to the user.

Enables read-only MCP access to Tactical RMM, allowing agents to query devices, clients, sites, audit logs, software, and pending actions without any mutating capabilities.

Enables a model to read the local system clipboard history during a conversation, listing the most recent copied texts with timestamps and previews and fetching the full text of any entry by index. History stays on the machine, text-only, with size and retention limits.

A black-box desktop automation MCP server that handles screenshots, coordinates, and clicks internally to complete tasks given by the user.

A local MCP server that lets multiple AI agents safely share a Windows desktop by coordinating exclusive access to the mouse, keyboard, screen, and windows, with human consent, takeover, and full activity logging.

Enables MCP clients such as ChatGPT and Claude chats to control a Windows desktop by taking screenshots, moving the mouse, typing text and key chords, focusing windows, reading or writing the clipboard, and launching applications. Access is gated by local approval modes, input kill switches, and an optional authenticated relay for remote clients.

Enables a Copilot Studio agent to operate a dedicated, disposable Windows VM by running commands, PowerShell scripts, file operations, and background jobs over authenticated HTTPS.

Enables AI agents to inspect and operate Windows applications through structured UI Automation maps, humanized mouse and keyboard input, and on-demand screenshots or OCR via MCP. It supports locating elements by role, name, or query; clicking, typing, scrolling, window management, event watching, and chained multi-step actions without relying on image analysis.

MCP sidecar that exposes a local Nodel runtime via the Model Context Protocol, read-only by default with optional write/lifecycle/delete operations and approval workflows.

Lets an LLM see what's on your screen by capturing an entire monitor or a specific application window.

Enables AI agents to control a Hyprland Wayland desktop by listing windows, capturing screenshots, and sending input to a dedicated agent workspace without disrupting the user's screen.

Exposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.

Monitors host CPU/RAM, local ports, and Docker containers, streaming live telemetry to a React dashboard over SSE. Exposes MCP tools to query system status, read environment logs, and execute remediation fixes via a local LLM agent.

A fast MCP server for opening, focusing, and quitting macOS apps, and opening URLs in the browser, usable by voice or from any MCP client.

A cross-platform MCP server that enables AI assistants to manage printers, query printer status, and print files on Windows, macOS, and Linux.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.

Allow AI agents to see and control a real Windows PC you own: observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH — your machine, your key.