An MCP server that bridges AI agents with GUI automation capabilities, allowing them to control mouse, keyboard, windows, and take screenshots to interact with desktop applications.
An MCP server implementation that enables AI assistants to interact with and manage Sakura Cloud infrastructure, including servers, disks, networks, and containerized applications.
An MCP server that allows AI models to execute system commands on local machines or remote hosts via SSH, supporting persistent sessions and environment variables.
A Model Context Protocol (MCP) server that enables real-time, interactive AI chat with Selector AI through a streaming-capable server and Docker-based client communicating via stdin/stdout.
A unified Model Context Protocol server that aggregates multiple MCP servers into one, allowing AI assistants like Claude Desktop, Cursor, and Cherry Studio to connect to a single server instead of managing multiple instances.
An MCP server implementation that standardizes how AI applications access tools and context, providing a central hub that manages tool discovery, execution, and context management with a simplified configuration system.