A WebSocket-based Model Control Protocol (MCP) server that processes model requests and provides responses. Supports chat and text completion actions with a standardized JSON protocol for AI model communication.
MCP server that exposes WebSocket session management as tools, allowing AI agents to open persistent connections, send typed frames, drain buffered messages, and monitor per-frame Shannon entropy to detect schema divergence.
A Model Context Protocol server implementation that enables real-time data communication between web pages and client applications through WebSocket connections.
An MCP server for ROS 2 environments that connects via rosbridge WebSocket, enabling topic/service introspection, publish/subscribe, service calls, robot connectivity checks, and polishing pipeline operations.
