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.
Enables MCP-compatible AI agents to execute typed live-app actions over WebSocket, allowing agents to directly interact with real application state without browser automation or scraping.
A high-performance WebSocket/SSE transport layer and gateway for Anthropic's MCP, enabling real-time, scalable AI integrations with LLM agents like Claude.
Enables deployment of autonomous AI agents with memory and tool execution capabilities through a WebSocket-based MCP protocol. Provides production-ready infrastructure with REST API access, persistent state management, and extensible function registry for building self-hosted AI systems.
