Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the potential of AI-powered automation and integration with the MCP Developer Blueprint. This course offers a comprehensive guide to leveraging the Model Context Protocol (MCP) in real-world scenarios, helping you master automation, integration, and AI system enhancement. You will learn how to apply MCP in practical projects, setting up your environment, and tackling hands-on challenges that simulate real-life use cases. As you progress through the course, you will explore the architecture behind MCP, from its core concepts to the integration with popular tools like GitHub, Twitter, Gmail, and Zapier. You’ll start by gaining an understanding of MCP, then build simple projects such as the "Hello World" tool and a Weather API, before advancing to more complex integrations using Docker to secure and containerize your MCP server. Whether you're a developer looking to enhance your automation workflows or an enthusiast eager to explore AI system integration, this course provides the practical knowledge needed to take your skills to the next level. No prior knowledge of MCP is required, though familiarity with basic programming and APIs will be helpful. By the end of the course, you will be able to integrate MCP with various tools, automate tasks, manage GitHub repositories, build secure AI solutions, and confidently deploy your projects.

Syllabus

Welcome & Course Overview

In this module, we will provide an overview of the course structure, guide you through prerequisites, and help you set up your development environment. This foundational setup ensures you are well-prepared for hands-on learning throughout the course.

MCP Introduction

In this module, we will introduce the core concepts of MCP, explain how it enhances AI automation, and guide you through the essential documentation. This section lays the foundation for understanding MCP’s capabilities and community.

Project 1 - MCP Hello World / Weather API Tool

In this module, we will walk you through the "Hello World" and Weather API projects, applying MCP for real-world automation tasks. You'll gain hands-on experience by setting up the environment, understanding code structure, and working with real APIs.

MCP Architecture in Depth

In this module, we will explore the inner workings of MCP, from its architecture to the essential tools and resources. You will learn how to manage both the server and client setups, ensuring a deep understanding of MCP’s system.

Project 2 - MCP Server with GitHub

In this module, we will focus on integrating GitHub with MCP to streamline project versioning and collaboration. You will set up repositories, manage files, and explore tools for smoother project management.

MCP Server with X/YouTube

In this module, we will guide you through integrating MCP with Twitter, automating tasks such as posting tweets and tracking usernames. You'll build tools to interact with Twitter’s API, expanding your understanding of social media automation.

MCP Server with Gmail

In this module, we will demonstrate how to use MCP to automate tasks with Gmail, such as email creation, sending, and label management. You will also learn how to authenticate securely with Gmail, enabling full email automation.

MCP Server with Zapier

In this module, we will dive into automating workflows using Zapier and MCP, from email management to social media post automation. You'll complete practical exercises that integrate AI and automation tools to streamline tasks.

Developing, Securing, and Containerizing an MCP Server

In this module, we will teach you how to secure and containerize your MCP server using Docker. You'll explore Docker commands, setup procedures, and essential security practices to ensure safe and efficient deployment.

Course Summary

In this module, we will summarize the key takeaways from the course, reinforcing the practical applications of MCP. You will leave with a clear understanding of how to apply what you’ve learned to future projects.