Packt

MCP Developer Blueprint: AI-Powered Automation & Integration

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Packt

MCP Developer Blueprint: AI-Powered Automation & Integration

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn how to integrate MCP into automation workflows and real-world projects.

  • Understand how to apply MCP with APIs like GitHub, Gmail, and Twitter for task automation.

  • Master the setup, configuration, and deployment of MCP servers in a secure Docker environment.

  • Gain hands-on experience with advanced AI integration techniques and containerization strategies.

Details to know

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Recently updated!

April 2026

Assessments

10 assignments

Taught in English

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There are 10 modules in this course

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.

What's included

5 videos

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.

What's included

3 videos1 assignment

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.

What's included

9 videos1 assignment

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.

What's included

8 videos1 assignment

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.

What's included

6 videos1 assignment

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.

What's included

6 videos1 assignment

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.

What's included

8 videos1 assignment

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.

What's included

8 videos1 assignment

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.

What's included

9 videos1 assignment

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.

What's included

1 video2 assignments

Instructor

Packt - Course Instructors
Packt
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