MCP Fundamentals for Building AI Agents

Master the essentials of MCP, build servers and clients, and deploy scalable, context-aware AI agents through hands-on development.

Beginner

10 Lessons

Updated this week

Master the essentials of MCP, build servers and clients, and deploy scalable, context-aware AI agents through hands-on development.

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Explanations

AI-POWERED

Code Feedback

Explanations

Course Overview

MCP is one of those technologies where theoretical knowledge is widespread, yet production-grade implementation experience remains limited. The protocol itself is well-designed, but the documentation assumes a lot, the ecosystem is young, and most engineers I talk to have the same question: where do I actually start? That's why I built this course. As someone who has spent years researching and teaching AI systems (from neural networks and adaptive systems to the production-ready GenAI architectures we cov...Show More

TAKEAWAY SKILLS

Large Language Models (llms)

Distributed Architecture

Generative Ai

Software Design Patterns

What You'll Learn

Understand how Model Context Protocol (MCP) works and why it's the emerging standard for connecting AI agents to tools, data, and external systems

Break down MCP's core architecture: Host, Server, and Client roles, and how they communicate

Trace the evolution from standalone LLMs to autonomous, context-aware AI agents

Build a working MCP server and client from scratch with prompt and resource features

Design AI agents that dynamically discover and use tools through structured protocol communication

What You'll Learn

Understand how Model Context Protocol (MCP) works and why it's the emerging standard for connecting AI agents to tools, data, and external systems

Course Content

Getting Started

Get an overview of Model Context Protocol for integrating AI and automating workflows.

Course Overview

MCP: Why Agentic Systems Fail Before They Scale

Introduction to MCP

Explore the core understanding and architecture of Model Context Protocol.

From LLMs to AI Agents

What Is MCP?

Understanding MCP Roles and Architecture

Building an Application with MCP

Explore the development of an MCP server and client for enhanced AI interactions.

Creating the MCP Server Creating the MCP Client Adding Prompt Feature to the MCP Application Adding Resource Feature to the MCP Application

What’s Next?

Advance from AI fundamentals to building complex, modular agent ecosystems.

From a Single Server to an Agentic Ecosystem

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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