ashishpatel26/hf-mcpservercourse
Developer toolshttps://huggingface.co/learn/mcp-course/
Overview
This is a hands-on, free course to help you understand , how to use it, and how to build applications with it. * MCP concepts, architecture, and components. * how to use established MCP SDKs and frameworks. * applications, share your projects, and participate in challenges. * a certificate of completion upon finishing assignments! To make the most of this course, you should: * Have a basic understanding of AI and LLMs. * Be familiar with software development principles and APIs. * Know at least one programming language (Python or TypeScript examples provided). If you're new to any of these topics, no problem! We've linked resources below that can help you get up to speed quickly: * - For learning the basics of using and building with LLMs. * - For understanding how to build AI agents with LLMs. These are and won't stop you from jumping into the course directly if you're familiar with LLMs and agents. 🚀
README
🤗 Model Context Protocol (MCP) Course
This is a hands-on, free course to help you understand Model Context Protocol (MCP) , how to use it, and how to build applications with it.
What is inside this course:
- Study MCP concepts, architecture, and components.
- Learn how to use established MCP SDKs and frameworks.
- Build applications, share your projects, and participate in challenges.
- Earn a certificate of completion upon finishing assignments!
Course Component
| Chapter | Topic | Description |
|---|---|---|
| 0 | Onboarding | Set up the tools and platforms you’ll be using. |
| 1 | MCP Fundamentals, Architecture & Core Concepts | Understand the core concepts of MCP and see a simple use case. |
| 2 | End-to-End Use Case: MCP in Action | Build a simple, shareable end-to-end MCP app. |
| 3 | Deployed Use Case: MCP in Action | Build a deployed MCP app using Hugging Face’s ecosystem and partners. |
| 4 | Bonus Units | Bonus content to work with additional libraries and services from partners. |
📝 Prerequisites:
To make the most of this course, you should:
- Have a basic understanding of AI and LLMs.
- Be familiar with software development principles and APIs.
- Know at least one programming language (Python or TypeScript examples provided).
If you’re new to any of these topics, no problem! We’ve linked resources below that can help you get up to speed quickly:
- LLM Course - For learning the basics of using and building with LLMs.
- Agents Course - For understanding how to build AI agents with LLMs.
These are optional and won’t stop you from jumping into the course directly if you’re familiar with LLMs and agents. 🚀
Install
This server does not publish a one-line install command.
Open the repository installation guide New to MCP? Start with the mcpskill.org guide →