MCP for Beginners: Connect AI to Real-World Tools.

About this course

Model Context Protocol (MCP) makes it possible for AI applications like ChatGPT to connect with external tools and services. In this course, you’ll learn how MCP works, how to connect it with different tools, and how to use it in real-world projects.

We’ll start with the basics and gradually move on to practical examples. You’ll learn how MCP servers and clients work, how ChatGPT can connect to external tools, and how MCP can be used with n8n to automate tasks.

You’ll work on practical projects such as creating AI videos using ChatGPT and Higgsfield through MCP, building a student feedback website using Lovable, collecting and storing feedback with n8n Data Tables, and using ChatGPT to analyze customer responses. You’ll also learn how to automate email notifications and reports, work with JSON data, and connect different tools through MCP-enabled workflows.

Throughout the course, you’ll learn how MCP clients and servers work, how AI applications use external tools, and how MCP can be combined with workflow automation. Instead of focusing only on theory, you’ll follow practical examples to understand how these technologies work together.

By completing the projects, you’ll gain practical MCP skills and understand how to connect AI applications with external tools. You’ll discover how MCP and automation can save time, reduce repetitive tasks, and help you create solutions for real-world situations. You’ll also gain experience with ChatGPT, n8n, and other AI tools that you can apply to your own projects.

Many people use ChatGPT for simple questions and everyday tasks, but connecting it to external tools using MCP opens up many more possibilities. You can use ChatGPT to access data, analyze information, generate ideas, automate tasks, and build practical solutions.

If you want to go beyond basic ChatGPT conversations and discover how MCP can help you work with real data and external applications, this course is for you.

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