Enables AI agents to automate local software management workflows including installation, uninstallation, updates, and environment recommendations. It provides a standardized, non-interactive interface for managing system applications and tracking software versions safely.
Bridges LLMs with Uyuni infrastructure management, enabling natural language system administration such as inspecting systems, managing updates, and scheduling actions.
Enables management of Azure Cloud PCs using the Microsoft Graph API, allowing users to list available Cloud PCs in their tenant through Claude Desktop.
Enables Claude to execute predefined MacOS Shortcuts for extracting recipe ingredients, adding them to a Groceries list in Reminders, summarizing chat conversations into notes, and creating calendar events.
Enables AI agents to efficiently manage and monitor background processes, with features like process startup, termination, log retrieval, and resource management.
Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.
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.
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.
A comprehensive Node.js server implementing Model Context Protocol (MCP) that enables filesystem operations, process management, and terminal session handling with an enterprise-grade security approach.
Allows Claude desktop app to execute terminal commands and edit files on your computer through MCP, with features including command execution, process management, and diff-based file editing.
Enables cluster-aware command execution and automatic task routing across distributed nodes based on system load, architecture, and OS requirements. It supports parallel execution, remote node management via SSH, and dynamic load balancing for agentic workflows.
Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.