"Overview of Proxmox Virtualization Platform" matching MCP servers:

Enables AI assistants to manage Proxmox VE virtual machines via MCP and OpenAPI, supporting operations like start, stop, clone, and snapshot.

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Enables AI agents to manage processes via structured MCP tools, reducing token usage by 75-80% compared to shell commands.

Enables AI agents to manage Supervisord processes (start, stop, restart, view logs, etc.) through the Model Context Protocol, simplifying process management in production and development environments.

Sends periodic system notifications to remind users to take breaks and move around, with customizable intervals, messages, and cross-platform notification support.

Enables AI agents to send cross-platform desktop notifications with priority levels, categories, and configurable duration.

A Model Context Protocol server that enables remote execution of shell commands across different operating systems, automatically handling platform-specific differences between Windows and Unix-like systems.

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

A high-performance, cross-platform MCP server for split-screen window management on Windows and macOS, providing 16 window manipulation tools.

Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.

A cross-platform MCP server for capturing screenshots of monitors and windows, as well as listing and closing windows.

Enables capturing screenshots of all connected monitors with automatic JPEG compression and multi-platform support including WSL environments. Supports quality adjustment and image resizing through simple natural language commands.

MCP server that wraps the MSPbots Fleet Platform API, enabling host inventory management, on-demand script execution, and saved osquery queries over the Model Context Protocol.

MCP server for Kaseya VSA — endpoints, patches, procedures, alarms, and tickets. Enables AI assistants to manage and monitor devices via the Kaseya VSA RMM platform.

Automatic operation of on-screen GUI.

Enables secure remote management of the platform through nine MCP tools over STDIO and HTTP, including terminal execution, service controls, and live status monitoring.

A cross-platform MCP server that allows AI agents to capture screenshots of specific windows, displays, or regions for native application testing. It provides tools to list active windows and monitors, enabling precise visual verification and interaction during automated workflows.

Enables AI coding agents like Claude to read Windows clipboard contents (text and images) from within WSL environments, providing seamless cross-platform clipboard access through the Model Context Protocol.

Provides cross-platform device information including system specs, battery status, storage, and memory details for Windows, macOS, Linux, and Android through a Model Context Protocol server.

A cross-platform MCP server that enables AI assistants to manage printers, query printer status, and print files on Windows, macOS, and Linux.