Designing AI Agents with the Model Context Protocol

AI agents are transforming how we build software, but connecting language models to local files, databases, and external APIs securely has always been a complex challenge. The Model Context Protocol (MCP) provides an open standard that solves this integration bottleneck. This text-only course guides you through the foundational concepts of agentic architecture and teaches you how to implement MCP to build secure, context-aware AI assistants. You will learn to: Understand the core architecture of AI agents and the role of standardized context protocols; Configure MCP clients and servers to establish secure communication channels; Connect language models to databases, local directories, and web APIs; Implement secure data access controls and manage context window limits efficiently; Design custom tool integrations that allow AI agents to perform real-world actions; Practice building and deploying a complete agentic workflow through step-by-step written guides. You will start with key terminology and foundational definitions before moving into practical architectural patterns and security best practices. This course is designed for software developers, system architects, and tech enthusiasts who want to build next-generation AI applications, with no prior experience with MCP required. Start reading today to master the architectural standards of modern AI integration.