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The course is divided into 4 units. These will take you from the basics of Model Context Protocol to a final project implementing MCP in an AI application.
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| Unit | Topic | Description |
|---|---|---|
| 0 | Welcome to the Course | Welcome, guidelines, necessary tools, and course overview. |
| 1 | Introduction to Model Context Protocol | Definition of MCP, key concepts, and its role in connecting AI models with external data and tools. |
| 2 | Building with MCP: Practical Development | Learn to implement MCP clients and servers using available SDKs and frameworks. |
| 3 | MCP Protocol Deep Dive | Explore advanced MCP features, architecture, and real-world integration patterns |
| 4 | Bonus Units & Collaborations | Special topics, partner libraries, and community-driven projects. |
- Basic understanding of AI and LLM concepts
- Familiarity with software development principles and API concepts
- Experience with at least one programming language (Python or TypeScript examples will be emphasized)
If you want to contribute to this course, you're welcome to do so. Feel free to open an issue or submit a pull request. For specific contributions, here are some guidelines:
If you find a small typo or grammar mistake, please fix it yourself and submit a pull request. This is very helpful for students.
If you want to add a new unit, please create an issue in the repository, describe the unit, and why it should be added. We will discuss it and if it's a good addition, we can collaborate on it.
To cite this repository in publications:
@misc{mcp-course,
author = {Your Name},
title = {The Model Context Protocol Course},
year = {2025},
howpublished = {\url{https://github.com/yourusername/mcp-course}},
note = {GitHub repository},
}