Chevron Left
Back to Introduction to Model Context Protocol

Learner Reviews & Feedback for Introduction to Model Context Protocol by Anthropic

4.7
stars
21 ratings

About the Course

In this course, you'll discover how to build powerful AI applications using the Model Context Protocol, a revolutionary approach that eliminates tedious integration code when connecting Claude to external services and data sources. This course takes you from understanding MCP's core architecture to building fully functional MCP servers and clients that can interact with real-world systems. You'll learn the three essential MCP primitives - tools, resources, and prompts - and understand when to use each one. Through hands-on implementation, you'll create your own MCP server with the Python SDK, defining tools that Claude can call autonomously, resources that provide data to your applications, and prompts that deliver professionally crafted workflows to end users. By building both client and server components, you'll gain complete insight into how MCP enables seamless communication between AI models and external services. You'll work with the MCP Inspector to test your implementations, understand transport protocols, and see exactly how messages flow through the entire system. Whether you're building GitHub integrations, document management systems, or custom AI workflows, this course gives you the practical skills to leverage MCP's standardized approach and dramatically reduce your development burden....

Top reviews

Filter by:

1 - 5 of 5 Reviews for Introduction to Model Context Protocol

By Radu M

•

Mar 16, 2026

Stephen is a great instructor! The course is well structured, concepts are clearly articulated and introduced in a way that's easy to follow.

By Bipin

•

Mar 14, 2026

good.

By Esther S

•

Dec 16, 2025

Insgesamt gut. Bei KI Aufgaben schwierig genau die Worte zu finden, die die KI erwartet

By Gerardo V

•

Feb 19, 2026

Some things are missing , like access to the code , the code is presented but is not provided in any form to the student. . I did not like the AI performing the evaluation grade assignments, there are missing instructions in the questions and until grading and how as result of the evaluation. Some concepts are not clearly explained.

By Joe S

•

Feb 12, 2026

assumes you will pay for an anthropic API key, this intro should be generic without the need to pay another company money. This should provide a student API key or not need one.