This tutorial tackles a fundamental challenge in modern AI development: creating a standardized, reusable way for AI agents to interact with the outside world. We will explore the Model Context Protocol (MCP) designed to connect AI agents with external systems providing tools, data, and workflows.
This session provides a first-principles understanding of the protocol, by building an MCP server from scratch, attendees will learn the core mechanics of the protocol's data layer: lifecycle management, capability negotiation, and the implementation of server-side "primitives." The goal is to empower attendees to build their own MCP-compliant services, enabling their data and tools to be used by a growing ecosystem of AI applications.