mcp-for-beginners

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

🌐 Multi-Language Support

Translations maintained with Co-op Translator

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Prefer to Clone Locally?

This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout:

Bash / macOS / Linux:

git clone --filter=blob:none --sparse https://github.com/microsoft/mcp-for-beginners.git
cd mcp-for-beginners
git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'

CMD (Windows):

git clone --filter=blob:none --sparse https://github.com/microsoft/mcp-for-beginners.git
cd mcp-for-beginners
git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"

This gives you everything you need to complete the course with a much faster download.

🚀 Model Context Protocol (MCP) Curriculum for Beginners

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

🧠 Overview of the Model Context Protocol Curriculum

Welcome to your journey into the Model Context Protocol! If you've ever wondered how AI applications communicate with different tools and services, you're about to discover the elegant solution that's transforming how developers build intelligent systems.

Think of MCP as a universal translator for AI applications - just like how USB ports let you connect any device to your computer, MCP lets AI models connect to any tool or service in a standardized way. Whether you're building your first chatbot or working on complex AI workflows, understanding MCP will give you the power to create more capable and flexible applications.

This curriculum is designed with patience and care for your learning journey. We'll start with simple concepts you already understand and gradually build your expertise through hands-on practice in your favorite programming language. Every step includes clear explanations, practical examples, and plenty of encouragement along the way.

By the time you complete this journey, you'll have the confidence to build your own MCP servers, integrate them with popular AI platforms, and understand how this technology is reshaping the future of AI development. Let's begin this exciting adventure together!

Official Documentation and Specifications

The current protocol revision is MCP Specification 2026-07-28. The MCP specification uses date-based versioning (YYYY-MM-DD format) to make protocol compatibility explicit.

Version note: this curriculum teaches the current 2026-07-28 concepts, including stateless requests, the Extensions framework, and the deprecation of Roots, Sampling, and Logging. Some hands-on examples remain explicitly versioned to 2025-11-25 while SDK support catches up. See What's Changed in MCP: The 2026-07-28 Specification for the changes and migration guidance.

These resources become more valuable as your understanding grows, but don't feel pressured to read everything immediately. Start with the areas that interest you most!

• 📘 MCP Documentation – This is your go-to resource for step-by-step tutorials and user guides. The documentation is written with beginners in mind, providing clear examples you can follow along with at your own pace.
• 📜 MCP Specification – Think of this as your comprehensive reference manual. As you work through the curriculum, you'll find yourself returning here to look up specific details and explore advanced features.
• 📜 MCP Specification Versioning – This contains information about protocol version history and how MCP uses date-based versioning (YYYY-MM-DD format).
• 🧑‍💻 MCP GitHub Repository – Here you'll find SDKs, tools, and code samples in multiple programming languages. It's like a treasure trove of practical examples and ready-to-use components.
• 🌐 MCP Community – Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely.

Learning Objectives

By the end of this curriculum, you'll feel confident and excited about your new abilities. Here's what you'll achieve:

• Understand MCP fundamentals: You'll grasp what the Model Context Protocol is and why it's revolutionizing how AI applications work together, using analogies and examples that make sense.

• Build your first MCP server: You'll create a working MCP server in your preferred programming language, starting with simple examples and growing your skills step by step.

• Connect AI models to real tools: You'll learn how to bridge the gap between AI models and actual services, giving your applications powerful new capabilities.

• Implement security best practices: You'll understand how to keep your MCP implementations safe and secure, protecting both your applications and your users.

• Deploy with confidence: You'll know how to take your MCP projects from development to production, with practical deployment strategies that work in the real world.

• Join the MCP community: You'll become part of a growing community of developers who are shaping the future of AI application development.

Essential Background

Before we dive into MCP specifics, let's make sure you feel comfortable with some foundational concepts. Don't worry if you're not an expert in these areas - we'll explain everything you need to know as we go!

Understanding Protocols (The Foundation)

Think of a protocol like the rules for a conversation. When you call a friend, you both know to say "hello" when you answer, take turns speaking, and say "goodbye" when you're done. Computer programs need similar rules to communicate effectively.

MCP is a protocol - a set of agreed-upon rules that help AI models and applications have productive "conversations" with tools and services. Just like how having conversation rules makes human communication smoother, having MCP makes AI application communication much more reliable and powerful.

Client-Server Relationships (How Programs Work Together)

You already use client-server relationships every day! When you use a web browser (the client) to visit a website, you're connecting to a web server that sends you the page content. The browser knows how to ask for information, and the server knows how to respond.

In MCP, the AI application is the host. It creates an MCP client for each server it connects to, while the MCP server provides tools, resources, and prompts. The AI model is not itself an MCP client. See the MCP architecture specification for the roles of hosts, clients, and servers.

Why Standardization Matters (Making Things Work Together)

Imagine if every car manufacturer used different shaped gas pumps - you'd need a different adapter for each car! Standardization means agreeing on common approaches so things work together seamlessly.

MCP provides this standardization for AI applications. Instead of every AI model needing custom code to work with every tool, MCP creates a universal way for them to communicate. This means developers can build tools once and have them work with many different AI systems.

🧭 Your Learning Path Overview

Your MCP journey is carefully structured to build your confidence and skills progressively. Each phase introduces new concepts while reinforcing what you've already learned.

🌱 Foundation Phase: Understanding the Basics (Modules 0-2)

This is where your adventure begins! We'll introduce you to MCP concepts using familiar analogies and simple examples. You'll understand what MCP is, why it exists, and how it fits into the larger world of AI development.

• Module 0 - Introduction to MCP: We'll start by exploring what MCP is and why it's so important for modern AI applications. You'll see real-world examples of MCP in action and understand how it solves common problems developers face.

• Module 1 - Core Concepts Explained: Here you'll learn the essential building blocks of MCP. We'll use plenty of analogies and visual examples to make sure these concepts feel natural and understandable.

• Module 2 - Security in MCP: Security might sound intimidating, but we'll show you how MCP includes built-in safety features and teach you best practices that protect your applications from the start.

🔨 Building Phase: Creating Your First Implementations (Module 3)

Now the real fun begins! You'll get hands-on experience building actual MCP servers and clients. Don't worry - we'll start simple and guide you through every step.

This module includes multiple hands-on guides that let you practice in your preferred programming language. You'll create your first server, build a client to connect to it, and even integrate with popular development tools like VS Code.

Each guide includes complete code examples, troubleshooting tips, and explanations of why we make specific design choices. By the end of this phase, you'll have working MCP implementations you can be proud of!

🚀 Growing Phase: Advanced Concepts and Real-World Application (Modules 4-5)

With the basics mastered, you're ready to explore more sophisticated MCP features. We'll cover practical implementation strategies, debugging techniques, and advanced topics like multi-modal AI integration.

You'll also learn how to scale your MCP implementations for production use and integrate with cloud platforms like Azure. These modules prepare you to build MCP solutions that can handle real-world demands.

🌟 Mastery Phase: Community and Specialization (Modules 6-11)

The final phase focuses on joining the MCP community and specializing in areas that interest you most. You'll learn how to contribute to open-source MCP projects, implement advanced authentication patterns, and build comprehensive database-integrated solutions.

Module 11 deserves special mention - it's a complete 13-lab hands-on learning path that teaches you to build production-ready MCP servers with PostgreSQL integration. It's like a capstone project that brings together everything you've learned!

📚 Complete Curriculum Structure

Module	Topic	Description	Link
Module 0-3: Fundamentals
00	Introduction to MCP	Overview of the Model Context Protocol and its significance in AI pipelines	Read more
01	Core Concepts Explained	In-depth exploration of core MCP concepts	Read more
1.1	What's Changed in MCP (2026-07-28)	Stateless protocol, Extensions framework, and feature deprecations in the current specification	Guide
02	Security in MCP	Security threats and best practices	Read more
2.1	CIMD and DCR Authorization	Compare preferred CIMD registration with deprecated DCR fallback using a protected MCP server	Sample
03	Getting Started with MCP	Environment setup, basic servers/clients, integration	Read more
Module 3: Building Your First Server & Client
3.1	First Server	Create your first MCP server	Guide
3.2	First Client	Develop a basic MCP client	Guide
3.3	Client with LLM	Integrate large language models	Guide
3.4	VS Code Integration	Consume MCP servers in VS Code	Guide
3.5	stdio Server	Create servers using stdio transport	Guide
3.6	HTTP Streaming	Implement HTTP streaming in MCP	Guide
3.7	Microsoft Foundry Toolkit	Use Microsoft Foundry Toolkit with MCP	Guide
3.8	Testing	Test your MCP server implementation	Guide
3.9	Deployment	Deploy MCP servers to production	Guide
3.10	Advanced server usage	Use advanced servers for advanced feature usage and improved architecture	Guide
3.11	Simple auth	A chapter showing you auth from the beginning and RBAC	Guide
3.12	MCP Hosts	Configure Claude Desktop, Cursor, Cline, and other MCP hosts	Guide
3.13	MCP Inspector	Debug and test MCP servers with the Inspector tool	Guide
3.14	Sampling	Use sampling to collaborate with the client	Guide
3.15	MCP Apps	Build MCP Apps	Guide
Module 4-5: Practical & Advanced
04	Practical Implementation	SDKs, debugging, testing, reusable prompt templates	Read more
4.1	Pagination	Handle large result sets with cursor-based pagination	Guide
05	Advanced Topics in MCP	Multi-modal AI, scaling, enterprise use	Read more
5.1	Azure Integration	MCP Integration with Azure	Guide
5.2	Multi-modality	Working with multiple modalities	Guide
5.3	OAuth2 Demo	Implement OAuth2 authentication	Guide
5.4	Root Contexts	Understand and implement root contexts	Guide
5.5	Routing	MCP routing strategies	Guide
5.6	Sampling	Sampling techniques in MCP	Guide
5.7	Scaling	Scale MCP implementations	Guide
5.8	Security	Advanced security considerations	Guide
5.9	Web Search	Implement web search capabilities	Guide
5.10	Realtime Streaming	Build realtime streaming functionality	Guide
5.11	Realtime Search	Implement realtime search	Guide
5.12	Entra ID Auth	Authentication with Microsoft Entra ID	Guide
5.13	Foundry Integration	Integrate with Microsoft Foundry	Guide
5.14	Context Engineering	Techniques for effective context engineering	Guide
5.15	MCP Custom Transport	Custom Transport implementations	Guide
5.16	Protocol Features	Progress notifications, cancellation, resource templates	Guide
5.17	Adversarial Multi-Agent Reasoning	Two agents argue opposite sides using shared MCP tools, evaluated by a judge agent	Guide
Module 6-10: Community & Best Practices
06	Community Contributions	How to contribute to the MCP ecosystem	Guide
07	Insights from Early Adoption	Real-world implementation stories	Guide
08	Best Practices for MCP	Performance, fault-tolerance, resilience	Guide
09	MCP Case Studies	Practical implementation examples	Guide
10	Hands-on Workshop	Building an MCP Server with Microsoft Foundry Toolkit	Lab
Module 11: MCP Server Hands On Lab
11	MCP Server Database Integration	Comprehensive 13-lab hands-on learning path for PostgreSQL integration	Labs
11.1	Introduction	Overview of MCP with database integration and retail analytics use case	Lab 00
11.2	Core Architecture	Understanding MCP server architecture, database layers, and security patterns	Lab 01
11.3	Security & Multi-Tenancy	Row Level Security, authentication, and multi-tenant data access	Lab 02
11.4	Environment Setup	Setting up development environment, Docker, Azure resources	Lab 03
11.5	Database Design	PostgreSQL setup, retail schema design, and sample data	Lab 04
11.6	MCP Server Implementation	Building the FastMCP server with database integration	Lab 05
11.7	Tool Development	Creating database query tools and schema introspection	Lab 06
11.8	Semantic Search	Implementing vector embeddings with Azure OpenAI and pgvector	Lab 07
11.9	Testing & Debugging	Testing strategies, debugging tools, and validation approaches	Lab 08
11.10	VS Code Integration	Configuring VS Code MCP integration and AI Chat usage	Lab 09
11.11	Deployment Strategies	Docker deployment, Azure Container Apps, and scaling considerations	Lab 10
11.12	Monitoring	Application Insights, logging, performance monitoring	Lab 11
11.13	Best Practices	Performance optimization, security hardening, and production tips	Lab 12
Module 12: MCP Tooling
12.1	Tooling	MCP usage in Copilot App	Guide

💻 Sample Code Projects

One of the most exciting parts of learning MCP is seeing your code skills develop progressively. We've designed our code examples to start simple and grow more sophisticated as your understanding deepens. Here's how we introduce concepts - with code that's easy to understand but demonstrates real MCP principles, you'll understand not just what this code does, but why it's structured this way and how it fits into larger MCP applications.

Basic MCP Calculator Samples

Language	Description	Link
C#	MCP Server Example	View Code
Java	MCP Calculator	View Code
JavaScript	MCP Demo	View Code
Python	MCP Server	View Code
TypeScript	MCP Example	View Code
Rust	MCP Example	View Code

Advanced MCP Implementations

Language	Description	Link
C#	Advanced Sample	View Code
Java with Spring	Container App Example	View Code
JavaScript	Advanced Sample	View Code
Python	Complex Implementation	View Code
TypeScript	Container Sample	View Code

🎯 Prerequisites for Learning MCP

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

• Basic knowledge of programming in at least one of the following languages: C#, Java, JavaScript, Python, or TypeScript

• Understanding of client-server model and APIs

• Familiarity with REST and HTTP concepts

• (Optional) Background in AI/ML concepts

• Joining our community discussions for support

📚 Study Guide & Resources

This repository includes several resources to help you navigate and learn effectively:

Study Guide

A comprehensive Study Guide is available to help you navigate this repository effectively. This visual curriculum map shows how all the topics connect and provides guidance on how to use the sample projects effectively. It's especially helpful if you're a visual learner who likes to see the big picture.

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

Changelog

We maintain a detailed Changelog that tracks all significant updates to the curriculum materials, so you can stay current with the latest improvements and additions.

• New content additions
• Structural changes
• Feature improvements
• Documentation updates

🛠️ 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

🎓 Your MCP Journey Begins

Congratulations! You've just taken the first step in an exciting journey that will expand your programming capabilities and connect you to the cutting edge of AI development.

What You've Already Accomplished

By reading through this introduction, you've already begun building your MCP knowledge foundation. You understand what MCP is, why it matters, and how this curriculum will support your learning journey. That's a significant achievement and the beginning of your expertise in this important technology.

The Adventure Ahead

As you progress through the modules, remember that every expert was once a beginner. The concepts that might seem complex now will become second nature as you practice and apply them. Each small step builds toward powerful capabilities that will serve you throughout your development career.

Your Support Network

You're joining a community of learners and experts who are passionate about MCP and eager to help others succeed. Whether you're stuck on a coding challenge or excited to share a breakthrough, the community is here to support your journey.

If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely.

If you have product feedback or errors while building visit:

Ready to Begin?

Your MCP adventure starts now! Begin with Module 0 to dive into your first hands-on MCP experiences, or explore the sample projects to see what you'll be building. Remember - every expert started exactly where you are now, and with patience and practice, you'll be amazed at what you can achieve.

Welcome to the world of Model Context Protocol development. Let's build something amazing together!

🤝 Contributing to the Learning Community

This curriculum grows stronger with contributions from learners like you! Whether you're fixing a typo, suggesting a clearer explanation, or adding a new example, your contributions help other beginners succeed.

Thanks to Microsoft Valued Professional Shivam Goyal for contributing code samples.

The contribution process is designed to be welcoming and supportive. Most contributions require a Contributor License Agreement (CLA), but the automated tools will guide you through the process smoothly.

📜 Open Source Learning

This entire curriculum is available under the MIT LICENSE, meaning you can use, modify, and share it freely. This supports our mission of making MCP knowledge accessible to developers everywhere.

🤝 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.

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Ready to start your MCP journey? Begin with Module 00 - Introduction to MCP and take your first steps into the world of Model Context Protocol development!

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