An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.
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).
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 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.
Provides an MCP server for local low-power screen vision, enabling AI agents to perform OCR and UI detection on inaccessible screens (games, remote desktops) using NPU acceleration and system OCR.
Enables secure PowerShell command execution with specialized script generation for Microsoft Intune and IBM BigFix management platforms, including detection/remediation scripts, system monitoring, and enterprise automation.
An MCP server that enables AI assistants to send native macOS notifications with automatic project detection and categorization. It includes logging capabilities for all notifications to provide an audit trail of system alerts.
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.
An MCP server for intelligent Linux kernel configuration management and building. Enables AI assistants to generate, manage, and optimize kernel configurations and build kernels with comprehensive error detection.
Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.
Enables AI assistants to control Ubuntu desktops through screenshots, mouse clicks, and keyboard interactions using AT-SPI integration and computer vision. It features optimized element detection and workflow batching for fast and accurate visual interaction with desktop applications.
Transforms AI assistants into expert Windows application packaging assistants for Microsoft Intune, enabling automated creation of deployment packages with PowerShell App Deployment Toolkit (PSADT) scripts, silent install arguments, and detection rules.
MCP server that enables AI to fully control macOS — mouse, keyboard, terminal, screenshots, window management, UI element detection, and provides AI-optimized information reporting.
Enables AI assistants to control Universal Robots through real-time connection management, status monitoring, and precise joint/linear motion control. Provides safe robot operation with built-in collision detection and simulation mode for development without physical hardware.
Enables AI assistants to automatically identify which machine they're working with by providing hostname detection and system information including CPU, memory, OS version, and architecture.