Master MCP (Model Context Protocol) | Build 4+ MCP Servers and Clients | Deploy and Publish MCP | Build MCP AI Agents

What you'll learn

Understand what MCP is and the problem it solves

Learn the full MCP architecture including how Clients and Servers interact with each other

Build your own MCP servers and clients from scratch with real-world examples

Explore, learn, and apply all of MCP's features, like tools, resources, prompts, transport protocols, streamable https, and much more

Learn to integrate MCP into broader agentic and LLM frameworks

Package, publish, distribute, and host your own MCP Servers and Clients

Build several MCP Servers and Clients from scratch

Learn how to build MCP and integrate MCPs with Python

Requirements

Basic understanding and familiarity with Python

Basic understanding and familiarity with how APIs work is helpful but not needed

Basic understanding and familiarity of Git and GitHub

Description

What makes this course different than others?Complete Guide: this is not a bootcamp or "crash" course - this is the only complete guide that takes you from knowing nothing about MCPs, to understanding the architecture and protocol, to an MCP expert building MCP Servers and Clients. You get ~8 hours of content!Focus on Python: the SDK we use here is completely in Python (instead of jаvascript or Typescript). However, since all the SDKs are similar, what you learn here will be applicable to all SDKs.Up to date: this course incorporates all the latest updates and technologies, including the new Streamable HTTP transportFrom Theory to Build: this course starts on the theory and architecture behind MCPs, why they exist, how they work, their history so that you get a solid understanding. After that, we focus on the features around MCP Servers and Clients and applying it as we build with MCPMCP Servers and Clients: this course builds both MCP servers and clients (most content just stops at servers)Build 4+ MCP Servers and Clients: we build several MCP servers and clients from scratchMCPs are taking over the world because they solve a critical problem. LLM applications are great at generating content but they lack taking action. Tools and Function Calling were meant to address this, but LLM frameworks apply this differently and many developers had to "reinvent the wheel" every single time they started building an LLM application. Consensus was needed and MCP was born. Since then, MCP has taken off, being adopted fully by Microsoft, OpenAI, Anthropic, and so much more. Thousands of companies have built their own MCP servers, and tens of thousands of developers have built MCP servers that interact with an API or compute some process locally. In fact, MCP was one of the highest search terms in Q1-Q2 2025 (after AI Agents). This course is all about taking you from knowing nothing about MCPs to becoming an MCP master. By the end of this course, you will be able to build your own MCP Servers and Clients from scratch, deploy them locally or on a virtual machine, distribute them using GitHub or NPM, and learn / master all of MCPs architecture and features.Note that we focus on the Python SDK when building MCP Servers and Clients.What's MCP?MCP is a standardized mechanism (i.e., protocol) for AI systems (like LLMs, agents, etc.) to interact with external systems (like APIs, tool logic, local processes, etc.). Think of it as a universal USB-C connector for AI systems and everything that needs to connect to AI systems.Why MCP?One word: standardization. Once you build an MCP Server, it can easily connect to thousands of different applications / LLMs / Agents that contain an MCP Client. Similarly, if you build an MCP Client, it can easily connect to tens of thousands of MCP Servers.What is this course all about?This course has one goal - to taking you from knowing nothing about MCPs to becoming an MCP master. Ultimately, this means going through MCPs vast set of features and learning how to apply them into your own applications. We will build MCP Servers and Clients from scratch and deploy / distribute them both locally and remotely.This course is hands-on, practical, and tailored for enthusiasts / developers seeking how to build real-world MCP Servers and MCP Clients. Note that the SDK we use is Python and the MCP Hosts we use in this course are VS Code and Anthropic Claude.What will you learn?Understand MCP architecture - learn how MCP Clients and MCP Servers interact with each other in detailLearn, master, and apply all MCP features - deep dive into all of MCP features, including tools, resources, prompts, transport protocol, STDIO, streamable https, and so much moreBuild MCP Servers and Clients - build several real-world practical MCP Servers and Clients from scratch, and combine them with LLMs to create powerful LLM applicationsPublish, and host your own MCP Server or MCP Client - distribute and publish your own MCP Servers and MCP ClientsWhy choose this course?Complete guide - this is the 100% start to finish, zero to hero, basic to advanced guide on building MCP Servers and Clients. There is no other course like it that teaches you everything from start to finish. It contains ~8 hours of instructional content!Structured to succeed - this course is structured to help you succeed by learning the theory and actually applying it. We also focus on both architecture, servers, clients, and deployment. Fully instructional - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually uses real-life examples and integrationsStep by step - we go through every single concept one-by-one. This improves your probabilities of learning MCP rather than going haphazardly through each featureTeacher response - if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out videoResources - you get access to all the code and slides in this course, plus several notes and guidesCourse OverviewMCP Introduction – Understand why MCP exists, its origins, what it enables, and a breakdown of the full course roadmap.MCP Architecture Overview – Dive into how MCP works with agents and LLMs, the client-server workflow, server primitives like resources/prompts, and the difference between FastMCP, Stdio, and Streamable HTTP setups.MCP Environment Setup – Get your local development environment ready with Claude, Python, Git, and VS Code, and access key course resources.MCP Quickstart – Build your first working MCP system (both Server and Client) with Claude and a simple tool (like an Airbnb example), covering both local and NPX-based setups.MCP Server Deep Dive - Tools – Learn how MCP servers interact with your local files, APIs, external models, and how to structure more complex inputs.MCP Server Deep Dive - Resources and Prompts – Explore how to expose reusable resources and prompts from your MCP server, and how to structure them for input-output handling.MCP Server Deep Dive - Deployment and Publishing – Package your MCP server for reuse and publish it to platforms like GitHub to share or deploy in real-world scenarios.MCP Server Deep Dive - STDIO vs. Streamable HTTP – Understand remote server options, how to build and host Streamable HTTP servers, and connect clients using MCP Inspector and virtual machines.MCP Client Deep Dive – Go under the hood of MCP Clients, how they manage sessions, call tools/resources/prompts, and integrate with LLMs for full processing flows.MCP End-to-End Builds – Build real-world projects like a memory tracker and chess stats server, and create MCP Clients that connect to multiple servers.MCP Conclusion and Certificate – Wrap up your MCP journey, celebrate your accomplishment, and learn how to access your course certificate.

Overview

Section 1: MCP Introduction

Lecture 1 Why does MCP exist?

Lecture 2 Course Tips

Lecture 3 History and benefits of MCP

Lecture 4 What is MCP?

Lecture 5 What is this course?

Lecture 6 Course roadmap

Lecture 7 About the instructor

Lecture 8 Keys to success

Lecture 9 Ways to reach out

Lecture 10 Leave a rating

Lecture 11 Watch in 1080p

Section 2: MCP Architecture Overview

Lecture 12 MCP architecture deep dive with agents and LLMs

Lecture 13 MCP server deep dive with tools

Lecture 14 Full MCP client and server workflow chain

Lecture 15 Other MCP primitives (resources and prompts)

Lecture 16 FastMCP vs. lowlevel server

Lecture 17 Local vs. Remote MCPs - Stdio vs. Streamable HTTP

Section 3: MCP Environment Setup

Lecture 18 Environment setup

Lecture 19 Resources

Section 4: MCP Quickstart

Lecture 20 Simple Claude and Airbnb MCP example

Lecture 21 Create a simple MCP Server 1

Lecture 22 Create a simple MCP Server 2

Lecture 23 Connect an MCP Client to an MCP Server locally built

Lecture 24 Connect an MCP Client to an MCP Server using NPX

Section 5: MCP Server Deep Dive - Tools

Lecture 25 MCP Server and local files 1

Lecture 26 MCP Server and local files 2

Lecture 27 Using MCP Servers to interact with your desktop

Lecture 28 Using MCP Servers to make API calls

Lecture 29 Using MCP Servers with other AI models or web search

Lecture 30 Complex inputs with MCP Servers

Section 6: MCP Server Deep Dive - Resources and Prompts

Lecture 31 Introduction to MCP Resources and Prompts

Lecture 32 Prompts deep dive

Lecture 33 Resources deep dive

Lecture 34 Resources deep dive with inputs

Section 7: MCP Server Deep Dive - Deployment and Publishing

Lecture 35 Introduction to MCP deployment

Lecture 36 Create and package an MCP Server

Lecture 37 Deploy MCP Server to package manager like Git

Section 8: MCP Server Deep Dive - STDIO vs. Streamable HTTP

Lecture 38 Introduction to remote MCP servers with Streamable HTTP

Lecture 39 Create and host a Streamable HTTP MCP Server in a virtual machine

Lecture 40 Connect MCP Client to Streamable HTTP MCP Server

Lecture 41 Put MCP Server in virtual machine

Lecture 42 Connect to MCP Server Streamable HTTP with MCP Inspector

Lecture 43 Connect to MCP Server Streamable HTTP with MCP Client

Section 9: MCP Client Deep Dive

Lecture 44 Introduction to MCP Clients

Lecture 45 MCP Client session class

Lecture 46 Listing and calling tools from MCP clients to MCP servers

Lecture 47 Listing and calling resources from MCP clients to MCP servers

Lecture 48 Listing and calling prompts from MCP clients to MCP servers

Lecture 49 Process query in MCP Client - Connect LLMs and MCP Servers 1

Lecture 50 Process query in MCP Client - Connect LLMs and MCP Servers 2

Section 10: MCP End-to-End Builds

Lecture 51 MCP Server Build Memory Tracker 1

Lecture 52 MCP Server Build Memory Tracker 2

Lecture 53 MCP Server Build Chess Stats 1

Lecture 54 MCP Server Build Chess Stats 2

Lecture 55 MCP Client Build Multi MCP Server Example 1

Lecture 56 MCP Client Build Multi MCP Server Example 2

Section 11: MCP Conclusion and Certificate

Lecture 57 Conclusion and certificate

Section 12: Bonus

Lecture 58 Bonus

Developers and engineers who are building agentic AI applications or LLM-powered tools,Automation professionals and tech enthusiasts who are looking to connect AI with external tools or APIs,AI builders who've hit limits with their current tools and want to build MCP Servers and Clients,Founders or indie hackers exploring AI-native apps and toolchains,Anyone who loves clean protocols, open standards, and the phrase "build once, run everywhere",AI Enthusiasts who want to start building with MCPs