Model Context Protocol (MCP)

Name: Model Context Protocol (MCP) Course
Rating: 4.9 (20 reviews)

In this course, you'll become an AI architect by learning the Model Context Protocol (MCP). You'll build sophisticated, agentic systems where multiple AI tools, databases, and servers work together as one. You will write your own Python-based MCP clients (the "brain") that use LLMs to plan and execute tasks, and your own MCP servers (the "tools") that perform specific jobs. Your final project is to build "PriceScout," an autonomous bot that can understand a request, scrape websites, query a database, and deliver a complete analysis. Master the skills to build the next generation of interconnected AI.

Course

Intermediate
13 hours
4.9 (20)
Updated: Apr 15, 2026

Subscription · Monthly

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Unlimited access to hundreds of top-rated courses
Hands-on projects with expert feedback
Personalized career coaching and interview prep
Program Certificates

Skills you'll learn

9 skills

MCP Client Development
MCP Server Features
MCP Architecture Design
MCP Fundamentals
MCP Server Development

Prerequisites

4 prerequisites

Prior to enrolling, you should have the following knowledge:

GenAI Models
Generative AI Fluency
LLM Chatbot Development
Intermediate Python

You will also need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

12 lessons
1 project

Model Context Protocol (MCP)

Introduction to Model Context Protocol (MCP)
Discover what Model Context Protocol (MCP) is, why it matters, and how it standardizes AI app interactions—learn to build and use MCP servers and clients for interoperable workflows.
MCP Fundamentals
Understand MCP's role in connecting AI apps to external tools, MCP core components, real-world use cases, and complete a hands-on job search assistant walkthrough.
MCP Workflow Analysis
Analyze AI workflows, identify inefficiencies caused by manual tool handoffs, and envision improvements using the Model Context Protocol (MCP) for seamless integration.
MCP Architecture & Roles
Explore the MCP architecture, roles of host, client, and server, communication via JSON-RPC, transport mechanisms, and lifecycle phases of an MCP workflow.
Designing MCP Architecture
Design a smart home system using MCP by mapping roles, tracing JSON-RPC communication, categorizing capabilities, and choosing suitable transport mechanisms.
MCP Server Features
Explore the three core MCP server features—tools, resources, and prompts—that enable LLMs to act, access data, and use guided templates for effective user interactions.
MCP Client Features
Explore key MCP client features: roots (directory restrictions), sampling (LLM requests), and elicitation (user info requests) for secure, flexible workflows.
Building your First MCP Application
Learn to build your first MCP server app using the Python SDK, implement tools, resources, and prompts, and debug/test with Claude Desktop and MCP Inspector.
Building MCP Servers
Learn to build an MCP server that provides calculator tools, mathematical constants as resources, and calculation prompts for AI applications, using FastMCP and best development practices.
Building MCP Clients
Learn how to build, run, and test MCP clients using both Standard IO and Streamable HTTP, with step-by-step implementation, debugging, and a client-server exercise.
Building Chatbots and Agents with MCP
Learn to build chatbots and autonomous agents with MCP by integrating multiple servers, configuring clients, leveraging LLMs, and managing tool execution and agent memory.
Course Review
Review your MCP course journey, recap key concepts and skills, and get ready to apply your knowledge in the final project and beyond.

PriceScout: Agentic Analyst
Build the "PriceScout" AI agent. Write a client that uses an LLM to command custom scraper and database servers to analyze competitor pricing automatically.

Program Instructors

1 instructor

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Gordon Dri

ML Infrastructure Engineer

Gordon Dri

ML Infrastructure Engineer

Reviews

Average Rating: 4.9 (20 Reviews)

good and nice

Ragulnath M B

Jun 7, 2026

Muy buen proyecto práctico para entender MCP y la orquestación de agentes con herramientas reales. El enfoque client–server y el uso de tool calling ayudan a consolidar conceptos avanzados de agentic AI. Recomendable.

Beatriz Fernandez Enriquez

Apr 29, 2026

Excellent

Suchita Suryavanshi

Apr 2, 2026

great course for MCP

Maram Alfaraj

Apr 2, 2026

Nice Training

Sivaprasadreddy Suggu

Mar 10, 2026

About this program

Master MCP to enable LLMs to access databases, APIs and other tools. Build interoperable, integrated next-gen AI agents and systems.

Subscription · Monthly

Cancel Anytime
Unlimited access to hundreds of top-rated courses
Hands-on projects with expert feedback
Personalized career coaching and interview prep
Program Certificates

Model Context Protocol (MCP)

Skills you'll learn

Prerequisites

Course Outline

Program Instructors

Reviews

About this program

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