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Comprehensive MCP Server Training Course

A complete training course on building Model Context Protocol (MCP) servers, from basics to advanced features.

📚 Course Overview

This training course will teach you how to build MCP servers that enable AI assistants to interact with external tools, resources, and data sources. You'll learn everything from creating your first simple server to implementing advanced features like sampling, progress tracking, and multi-transport support.

🎯 Learning Objectives

By the end of this course, you will be able to:

  • Understand the Model Context Protocol architecture and components
  • Build MCP servers from scratch using TypeScript/JavaScript
  • Implement tools, resources, and prompts
  • Handle authentication, error handling, and state management
  • Deploy and scale MCP servers
  • Apply best practices for security and performance

📖 Course Structure

Module 1: Introduction and Setup

  • What is MCP?
  • Architecture overview (Client, Server, Transport)
  • Setting up your development environment
  • Understanding JSON-RPC 2.0

Module 2: Basic MCP Server (Hello World)

  • Creating your first MCP server
  • Understanding the server lifecycle
  • Basic request/response handling
  • Testing with MCP clients

Module 3: Implementing Tools

  • Tool definition and schema
  • Parameter validation
  • Synchronous vs asynchronous tools
  • Error handling and reporting
  • Tool chaining and workflows

Module 4: Resources

  • Resource definition and discovery
  • Reading and writing resources
  • Resource templates and URIs
  • Caching and performance optimization

Module 5: Prompts

  • Prompt templates and variables
  • Dynamic prompt generation
  • Prompt arguments and validation
  • Best practices for prompt design

Module 6: Advanced Features

  • Sampling and streaming responses
  • Progress tracking for long-running operations
  • Multi-transport support (stdio, HTTP/SSE)
  • State management and session handling
  • Logging and monitoring

Module 7: Real-world Examples and Best Practices

  • Building a file system MCP server
  • Creating an API integration server
  • Security best practices
  • Performance optimization
  • Testing strategies
  • Deployment and scaling

🚀 Getting Started

  1. Prerequisites

    • Node.js 18+ installed
    • Basic knowledge of TypeScript/JavaScript
    • Familiarity with JSON and REST APIs
  2. Installation

    npm install
  3. Start with Module 1 Navigate to modules/01-introduction/ and follow the guide.

📁 Project Structure

mcp-server-course/
├── README.md                 # This file
├── modules/                  # Training modules
│   ├── 01-introduction/
│   ├── 02-basic-server/
│   ├── 03-tools/
│   ├── 04-resources/
│   ├── 05-prompts/
│   ├── 06-advanced-features/
│   └── 07-real-world-examples/
├── examples/                 # Complete example implementations
│   ├── hello-world/
│   ├── file-system-server/
│   ├── api-integration/
│   └── advanced-server/
├── exercises/                # Hands-on exercises
└── package.json

🛠️ Technologies Used

  • TypeScript - Primary language
  • @modelcontextprotocol/sdk - Official MCP SDK
  • Node.js - Runtime environment
  • Jest - Testing framework

📚 Additional Resources

🤝 Contributing

This is a training course. Feel free to:

  • Report issues
  • Suggest improvements
  • Add more examples
  • Share your implementations

📄 License

MIT License - feel free to use this course for your own learning or teaching.


Happy Learning! 🎓

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A complete training course on building Model Context Protocol (MCP) servers, from basics to advanced features.

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