"A calculation evaluating the expression 9999519 plus 9999490" matching MCP servers:

MCP server for Windows computer use, providing low-token, low-latency automation through UIA/Win32, OCR, and vision. It enables batch actions, shortcuts, isolated desktop execution, and browser control via MCP tools.

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

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Enables Claude to perform exact math, date and holiday calculations, CSV/SQLite/PDF and text processing, filesystem and system diagnostics, network requests, and ffmpeg-based media operations through small purpose-built tools.

Enables an AI agent to inspect which process is listening on a local port and safely plan, confirm, and verify termination of that process across platforms.

Enables an MCP client on macOS to control a paired iPhone over Wi-Fi or USB through system developer services, without any app installed on the phone. Exposes tools for device discovery and connection, fresh screenshots, taps, drags, Home, app listing and launching, and Unicode text entry.

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.

A local stdio MCP service that lets an authorized AI assistant see and operate one Android phone through ADB, with screenshots, on-device OCR, text/coordinate taps, swipes, and app launching, plus optional scrcpy-based Chinese and emoji input. Includes zoomed inspection, a 0-1000 coordinate ruler, and crosshair preview with post-tap feedback so actions can be verified against the real screen.

Enables any local stdio MCP client to read and edit MAX+plus II projects, GDF schematics, SYM symbols and SCF waveforms, run the vendor's native compilation and simulation, and drive MAX+plus II's Windows user interface through Win32 and UI Automation.

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

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.

A zero-config MCP server that provisions and fully administers Windows RDP boxes (Windows 10/11 and Server 2016–2025), exposing 144 tools for shell, files, registry, GUI automation, UAC elevation, health reports, and more, plus guided workflows.

Connect AI with any macOS app. Deep integration with native apps like Calendar, Mail, Notes, plus UI control for all applications. Works with Claude, Cursor, Raycast, and any MCP-compatible AI.

Enables agents to control games on Windows through scan-code keyboard presses and holds, relative and absolute mouse movement, clicks, and wheels, timed multi-step input sequences for combos, plus screenshots and window listing/focusing for a see-think-act loop. Input is injected via SendInput so games that only read raw hardware-level input can respond.

Schedule any prompt on any cron expression; when it fires, we POST the job to your callback URL. No LLM in the stack.

Gives AI agents full control of a Windows computer over MCP through 63 native tools — screenshots and UI trees for vision, mouse/keyboard input, Chrome control via CDP, plus files, terminal, processes, and SSH/SFTP. The agent can look at the screen, click, type, launch apps, run commands, and verify each step with a fresh screenshot.

Enables ChatGPT and MCP clients to safely inspect and operate a Linux host through OAuth-protected, workspace-bounded file, Git, process, systemd, and Docker diagnostics, plus human-approved edits and operations.

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.

Exposes Windows system introspection and control as MCP tools, enabling inspection of processes, threads, modules, handles, memory, services, network endpoints, drivers, windows, and file signatures, plus process launching and control.

Enables inspecting local listening ports, process owners, Docker mappings, and local LLM signatures, plus looking up or terminating the process that owns a specific port when write access is allowed. Mutating actions require confirmation and are blocked in dry-run mode.

Enables MCP clients to control a Linux/X11 desktop like a human: see the screen, move the mouse, click UI elements via the accessibility tree, type text, and manage windows.

Lets any AI agent operate desktop apps on macOS, Windows and Linux in the background through the accessibility tree, including iPhone Mirroring on macOS. It shows the agent numbered elements plus a window screenshot, with built-in safety rules.

Exposes filesystem operations (read, write, list, move, delete, search), shell command execution, screenshots, mouse and keyboard control, and screen/window inspection as 15 tools plus configuration resources over stdio, SSE, or streamable HTTP. It lets MCP clients drive local computer-use and file management tasks with a fully local model stack.

Enables AI MCP clients to control macOS through screenshots, mouse clicks, scrolling and dragging, Unicode keyboard input and shortcuts, clipboard access, and window management, with multi-monitor and Retina coordinate handling plus visual action feedback.

Enables AI models to securely control remote Linux servers via SSH for command execution, file operations, and system monitoring, plus browser automation capabilities for web navigation, form interaction, and screenshot capture.

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.

Wraps the mcp-locks CLI to expose coordination primitives as MCP tools, enabling multiple AI agents to claim, release, and list exclusive OS resources like browser profiles.

Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.

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.

Executes privileged commands with mandatory human approval via a TUI prompt, supporting local and remote execution through sudo.