Introduction to the Model Context Protocol (MCP)
model · context · protocol · mcp · ai · agents · orchestration · artificial · intelligence · generative · alternatives · clients · hosts · servers.
This course provides a conceptual, non-coding introduction to the Model Context Protocol (MCP). It assumes general familiarity with large language models (LLMs), but no prior knowledge of MCP. The goal is to build an accurate mental model of MCP's terminology, architecture, and behavior so that it can be applied when building, integrating, or evaluating AI applications.
Putting this together, MCP is an open-source standard protocol for connecting AI applications to external tools and data. The rest of this course explores the details of that protocol and how tools and data are made available to an AI through it.
MCP defines three participants — the "players on the stage" of the protocol: hosts, clients, and servers.
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What's inside
5 sections- 1 Table of Contents
- 2 Module 1: Understanding the Model Context Protocol
- 3 Module 2: Advantages of MCP
- 4 Module 3: MCP in Action
- 5 Summary
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