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.
A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.
Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.
Enables AI visual debugging on Windows by capturing specific application, IDE, and compiled-app windows directly into memory, with background, high-DPI, side-by-side, and optional ShareX workflow support.
Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.
Lets Claude Desktop and Claude Code inspect and drive Windows desktop applications in the background, including clicking, typing, launching, and verifying results, while the user keeps their mouse, keyboard, and foreground window.
An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.
Windows computer use in the background for Antigravity and Gemini: look at a window, then act in one verified batch with targets named by their label, without taking the user's mouse, keyboard or foreground; irreversible actions need explicit confirmation.
A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).
Enables Claude to see and interact with any macOS application using natural language commands. Perfect for testing Mac applications, UI automation, and app development with AI assistance.
This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.
Enables any AI agent to perceive and control a Windows desktop through live screen capture, OCR, and safety-gated mouse/keyboard actions via a local HTTP API and MCP.
Enables mobile device automation for Android (via ADB) and iOS Simulator (via simctl), allowing you to control devices with natural language through screenshots, UI interactions, text input, and app management.
Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.
Self-hosted server that lets ChatGPT, Grok, and stdio MCP clients read and write files, run PowerShell/CMD and interactive processes, and drive the Windows desktop through screenshots, window info, clicks, drags, and keyboard input. It connects via OpenAI Secure MCP Tunnels, an OAuth authorization-code + S256 PKCE HTTPS endpoint, or local stdio, exposing 38 tools under the user's own Windows account.
Enables controlling remote desktops over RDP and VNC while running persistent Python sessions, so variables survive across calls and screenshots, actions, and loops can be combined. Supports multiple named connections, each with an independent worker and input state.
Enables MCP clients to discover desktop applications with structured metadata and receive native accessibility trees and screenshot content through Open Computer Use, preserving upstream tool results and image blocks.
Lets an AI agent work on a real Commodore Amiga over the home network: AmigaDOS Shell, files, ARexx, screenshots, mouse and keyboard, and windows, gadgets and menus by name. Includes a remote desktop to watch and take over, tuned for 68000 machines and slow links.
Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.
Enables MCP-compatible clients to inspect the local machine's CPU, memory, and disk information through tools, a structured resource, and an upgrade-assessment prompt.
macOS automation for AI assistants: 17 typed tools for window management, application menus, keyboard input, clipboard, browser tabs, screenshots, displays and Apple Shortcuts, driven through AppleScript and JXA. Menu clicks are self-correcting — a wrong item returns the actual menu contents so the model can retry with the right one.
Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.
An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.
A virtual Linux desktop as an MCP server, shipped in Docker. Agents drive screen, mouse, keyboard across any GUI — browsers, IDEs, office suites, Wine/Windows apps, legacy software — many in parallel.