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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. |
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 = Burtenshaw, Ben,
title = {The Model Context Protocol Course},
year = {2025},
howpublished = {\url{https://github.com/huggingface/mcp-course}},
note = {GitHub repository},
}
This Model Context Protocol (MCP) server enables LLMs like Claude to perform internet research using the Perplexity API. It provides real-time, up-to-date information with source citations.
DevEnvInfoServer - Cursor MCP Server for Development Environment Information
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