HomeCoursesMCP Fundamentals for Building AI Agents

Intermediate

1h 37min

Updated yesterday

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.
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Overview
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Step into the future of AI development with this hands-on course on the Model Context Protocol (MCP), a powerful architecture for designing intelligent, context-aware agents. You'll unpack the limitations of traditional LLMs and unlock the potential of modular, scalable AI systems. Learn how MCP defines clear roles, structures agent behavior, and streamlines real-world deployment. By the end, you'll be equipped to engineer AI agents that that can reason, adapt, and scale. The hands-on portion walks you through building a complete MCP-enabled application. You’ll create the MCP server and client, and extend the project by adding features such as prompt integration and resource management. Practical exercises are designed to help you apply each concept immediately. The course concludes by connecting theory to practice, showing how the skills you have developed can be used to develop robust, production-ready AI solutions.
Step into the future of AI development with this hands-on course on the Model Context Protocol (MCP), a powerful architecture fo...Show More

WHAT YOU'LL LEARN

An understanding of the concepts from standalone LLMs to agentic AI applications, and where MCP fits in
Familiarity with the core concepts, roles (host, client, server), and architecture behind MCP
Hands-on experience building your own MCP server and client, and integrating features like prompts and resource management
An understanding of how MCP enables modular, reusable, and scalable AI solutions
An understanding of the concepts from standalone LLMs to agentic AI applications, and where MCP fits in

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Content

1.

Getting Started

1 Lessons

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

2.

Introduction to MCP

3 Lessons

Explore the core understanding and architecture of Model Context Protocol.

3.

Building an Application with MCP

4 Lessons

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

4.

Wrapping Up

1 Lessons

Apply your knowledge to design, extend, and share powerful MCP-based agents that drive real-world AI automation.
Certificate of Completion
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Developed by MAANG Engineers
Every Educative lesson is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

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AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

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