What is Mcp For Beginners

mcp-for-beginners is an open-source curriculum aimed at teaching the concepts and fundamentals of the Model Context Protocol (MCP) through practical examples in .NET, Java, and Python.

Use cases

Use cases for mcp-for-beginners include self-study for beginners in programming, integration into academic courses on software development, and as a resource for developers transitioning to using MCP in their projects.

How to use

To use mcp-for-beginners, you need to fork the repository on GitHub, clone it to your local machine using the command ‘git clone https://github.com/microsoft/mcp-for-beginners.git’, and optionally join the Microsoft AI Discord Community for support and networking.

Key features

Key features of mcp-for-beginners include multi-language support (C#, Java, JavaScript, Python), practical hands-on code examples, and an active community on Discord for collaboration and assistance.

Where to use

mcp-for-beginners can be utilized in educational settings, software development training, and by developers looking to enhance their understanding of the Model Context Protocol.

Follow these steps to get started using these resources:

1. Fork the Repository: Click
2. Clone the Repository: git clone https://github.com/microsoft/mcp-for-beginners.git
3. Join The Azure AI Foundry Discord and meet experts and fellow developers

🌐 Multi-Language Support

Supported via GitHub Action (Automated & Always Up-to-Date)

French | Spanish | German | Russian | Arabic | Persian (Farsi) | Urdu | Chinese (Simplified) | Chinese (Traditional, Macau) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Taiwan) | Japanese | Korean | Hindi | Bengali | Marathi | Nepali | Punjabi (Gurmukhi) | Portuguese (Portugal) | Portuguese (Brazil) | Italian | Polish | Turkish | Greek | Thai | Swedish | Danish | Norwegian | Finnish | Dutch | Hebrew | Vietnamese | Indonesian | Malay | Tagalog (Filipino) | Swahili | Hungarian | Czech | Slovak | Romanian | Bulgarian | Serbian (Cyrillic) | Croatian | Slovenian

🚀 Model Context Protocol (MCP) Curriculum for Beginners

Learn MCP with Hands-on Code Examples in C#, Java, JavaScript, Python, and TypeScript

🧠 Overview of the Model Context Protocol Curriculum

The Model Context Protocol (MCP) is a cutting-edge framework designed to standardize interactions between AI models and client applications. This open-source curriculum offers a structured learning path, complete with practical coding examples and real-world use cases, across popular programming languages including C#, Java, JavaScript, TypeScript, and Python.

Whether you’re an AI developer, system architect, or software engineer, this guide is your comprehensive resource for mastering MCP fundamentals and implementation strategies.

🔗 Official MCP Resources

• 📘 MCP Documentation – Detailed tutorials and user guides
• 📜 MCP Specification – Protocol architecture and technical references
• 🧑‍💻 MCP GitHub Repository – Open-source SDKs, tools, and code samples

🧭 MCP Curriculum Overview

Sample Projects

🧮 MCP Calculator Sample Projects:

💡 MCP Advanced Calculator Projects:

🎯 Prerequisites for Learning MCP

To get the most out of this curriculum, you should have:

• Basic knowledge of C#, Java, or Python
• Understanding of client-server model and APIs
• (Optional) Familiarity with machine learning concepts

📚 Study Guide

A comprehensive Study Guide is available to help you navigate this repository effectively. The guide includes:

• A visual curriculum map showing all topics covered
• Detailed breakdown of each repository section
• Guidance on how to use sample projects
• Recommended learning paths for different skill levels
• Additional resources to complement your learning journey

🛠️ How to Use This Curriculum Effectively

Each lesson in this guide includes:

1. Clear explanations of MCP concepts
2. Live code examples in multiple languages
3. Exercises to build real MCP applications
4. Extra resources for advanced learners

📜 License Information

This content is licensed under the MIT License. For terms and conditions, see the LICENSE.

🤝 Contribution Guidelines

This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct.
For more information see the Code of Conduct FAQ or
contact [email protected] with any additional questions or comments.

🎒 Other Courses

Our team produces other courses! Check out:

• AI Agents For Beginners
• Generative AI for Beginners using .NET
• Generative AI for Beginners using JavaScript
• Generative AI for Beginners
• ML for Beginners
• Data Science for Beginners
• AI for Beginners
• Cybersecurity for Beginners
• Web Dev for Beginners
• IoT for Beginners
• XR Development for Beginners
• Mastering GitHub Copilot for AI Paired Programming
• Mastering GitHub Copilot for C#/.NET Developers
• Choose Your Own Copilot Adventure

™️ Trademark Notice

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
Microsoft’s Trademark & Brand Guidelines.
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos is subject to those third-parties’ policies.