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.

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November 2025
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There are 4 modules in this course
Get started with the Model Context Protocol (MCP). Learn what MCP is, why it matters, and how MCP clients communicate with MCP servers.
What's included
3 videos2 assignments
Build your first MCP server from scratch. Set up a Python project, define tools, and test your server using the official inspector.
What's included
3 videos2 assignments
Implement an MCP client to connect to servers. Learn how to define resources, access them, work with prompts, and integrate everything into a complete application.
What's included
5 videos3 assignments
Review key concepts and apply what you've learned. Complete a final assessment to test your understanding of MCP.
What's included
1 video1 assignment
Instructor
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Explore more from Software Development
Status: Free Trial
Status: PreviewFractal Analytics
Status: PreviewVanderbilt University
Status: Free TrialScrimba
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Frequently asked questions
This Coursera version includes interactive features not available in our standalone content, including Coursera Coach, which is an AI-powered learning assistant that can answer your questions, break down complex concepts, and provide personalized guidance as you learn. You'll also have access to additional practice quizzes, assessments, and AI-powered dialogues that help reinforce key concepts and let you test your understanding before moving forward. These enhancements transform the passive video experience into an interactive learning journey with real-time support and feedback.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.

