Foundations of Model Context Protocol (MCP)

Welcome to the Foundations of Model Context Protocol (MCP) lecture, part of the Enterprise MCP (Model Context Protocol) & Tool Integration course. In this session, we explore the core architecture and philosophy behind the Model Context Protocol, designed to establish a universal open standard that securely connects AI models to both local and remote enterprise tools and context. We begin by examining the client-host-server topology that dictates how requests and responses flow through the system. You will gain a clear understanding of the JSON-RPC 2.0 message specifications used for standardized communication, ensuring robust and predictable data exchange across different components of the architecture. Next, we dive into the underlying transport layers, including standard input/output (stdio) and Server-Sent Events (SSE), analyzing how each transport mechanism supports seamless connectivity. By standardizing these interfaces, organizations can effectively eliminate custom tool silos and reduce integration friction. By the end of this lecture, you will understand how to leverage MCP to build flexible, secure, and interoperable AI systems within enterprise environments. Key topics covered: MCP Architecture & Philosophy Client-Host-Server Topology JSON-RPC 2.0 Message Specifications Transport Layers (stdio, SSE) Eliminating Custom Tool Silos