Enables full control of macOS by executing AppleScript commands through an MCP server, allowing automation of tasks, application control, and system management.
Enables AI to remotely control macOS systems via VNC with full desktop capabilities including screenshots, mouse control, keyboard input, and application management. Includes a web-based chat interface for natural language control.
Enables AI assistants to automate macOS through AppleScript and JXA by providing 44 tools for application management, window control, and UI interaction. It allows for comprehensive system control including screen capture, keyboard and mouse simulation, and system information retrieval.
A Node.js application that enables programmatic interaction with WhatsApp desktop on macOS, allowing users to send messages and check WhatsApp status through AppleScript automation without direct UI interaction.
Enables full local computer control from MCP clients, including terminal commands, file system operations, application management, screen capture, and input device automation across Windows, macOS, and Linux.
Provides screen capture and optical character recognition (OCR) capabilities for entire displays or specific application windows. It enables users to list running applications, take screenshots, and extract text from images using multi-language support.
Provides advanced system monitoring and file search capabilities for macOS, allowing users to track performance metrics and perform enhanced file searches with content analysis and tagging features.
A Model Context Protocol server that enables clients to interact with a system terminal running in an Electron application, allowing for executing commands, managing terminal sessions, and retrieving output programmatically.
A privacy-first macOS MCP server that enables AI agents to capture screenshots of pre-approved application windows for development and debugging tasks.
An MCP server that enables AI agents to capture targeted screenshots of specific application windows on Windows and Linux, with smart window state restoration and focus management.
Vision-based desktop automation MCP server that controls any application via screenshot and AI vision, enabling UI automation through natural language commands.
An enterprise-grade automation server that enables AI assistants to control Windows PCs through intelligent UI element detection, window management, and system-level commands. It leverages the Windows UI Automation tree for reliable interaction, providing tools for mouse/keyboard control, application management, and high-performance screen state analysis.
Enables high-speed native macOS automation for Claude by interacting directly with the Accessibility API, AppleScript, and UI trees instead of using screenshots. It allows users to read app states, click elements, and type text semantically across any macOS application.
A lightweight open-source server that enables AI agents to interact with the Windows operating system, allowing for file navigation, application control, UI interaction, and QA testing without requiring computer vision.
A minimal server that provides AI assistants with access to Linux kernel tracing capabilities through bpftrace, enabling dynamic tracing and performance analysis via the Model Context Protocol.
MCP server that gives AI agents hands and eyes on macOS, enabling them to see and operate native and Electron applications via structured accessibility queries, screenshots, OCR, and application-specific skills.
A high-performance Model Context Protocol (MCP) server built for Windows. Leveraging the native Everything SDK, it provides AI models (like Claude, GPT, Gemini) with millisecond-speed file searching, statistical analysis, and disk usage insights.