AI integrations can be fragmented and hard to maintain. This course will teach you Model Context Protocol (MCP), the open standard for connecting AI to external tools and data.
What you'll learn
In this course, Introduction to Model Context Protocol, you'll gain the ability to understand and explain how the Model Context Protocol standardizes AI integrations. First, you'll explore the key concepts and terminology of MCP, including its architecture of hosts, clients, and servers, along with its core primitives: tools, resources, and prompts. Next, you'll discover how MCP compares to existing alternatives and why its open, standardized approach offers significant advantages. Finally, you'll learn how to trace the complete request-response flow through an MCP-enabled system, understanding how context flows from user queries through to external services and back. When you're finished with this course, you'll have the skills and knowledge of Model Context Protocol needed to evaluate MCP for your projects and communicate its value to your team.