The Model Context Protocol (MCP) Course

🇺🇸 English | 🇻🇳 Tiếng Việt

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Content

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.

You can access the course here 👉 [Coming Soon]

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.

Prerequisites

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)

Contribution Guidelines

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:

Small typo and grammar fixes

If you find a small typo or grammar mistake, please fix it yourself and submit a pull request. This is very helpful for students.

New unit

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.

Citing the project

To cite this repository in publications:

@misc{mcp-course,
  author = Burtenshaw, Ben,
  title = {The Model Context Protocol Course},
  year = {2025},
  howpublished = {\url{https://github.com/huggingface/mcp-course}},
  note = {GitHub repository},
}