This server implements the Model Context Protocol to facilitate meaningful interaction and understanding development between humans and AI through structured tools and progressive interaction patterns.
A production-ready Model Context Protocol suite over Streamable HTTP providing a sandboxed file server with tools, resources, prompts, and both manual and AI-driven clients.
A foundational implementation of a Model Context Protocol (MCP) server designed for educational purposes. It demonstrates the complete interaction between an LLM, an inference engine, and a client during an agentic call.