Model Context Protocol (MCP)
Curriculum for Beginners
Master the Model Context Protocol through hands-on examples in C#, Java, JavaScript, Rust, Python, and TypeScript. Experience the modern standard for connecting AI models with diverse data sources.
Universal Translator for AI
Model Context Protocol (MCP) is an open standard that enables AI models to communicate seamlessly with various data sources and tools. Much like how USB standardized hardware connections, MCP standardizes how AI applications integrate data.
Centralized Integration
Connect to all supported models with a single implementation, drastically reducing overhead.
Security & Control
Ensure secure data handling within local environments with granular control over AI access.
3-Step Getting Started
Build your MCP environment and prepare for your first lab in minutes.
Fork Repository
Secure your own workspace by forking the GitHub repository to your personal account.
Clone Locally
Clone the code to your local development environment and install necessary dependencies.
Join Community
Engage with other developers through Discord and GitHub Discussions for collaboration.
GLOBAL SUPPORT: ARABIC • BENGALI • CHINESE • ENGLISH • KOREAN • JAPANESE • SPANISH + 15 MORE
Curriculum Structure
Step-by-step learning modules from foundations to advanced integration.
| MODULE | TOPIC | ACTION |
|---|---|---|
| 00 | Curriculum Overview & Introduction | Read open_in_new |
| 01 | Foundations of MCP Theory | Explore play_circle |
| 02 | Environment Setup & Developer Tools | Read open_in_new |
| 05 | Server & Client Hands-on Lab | Read open_in_new |
| 11 | Final Project: Enterprise Integration | Explore rocket_launch |
Sample Code by Language
Quickstart for Python
Build your first server using the official Python SDK.
pip install mcp-sdk
TS/JS Integration
Client implementation for Express or Fastify applications.
npm install @modelcontextprotocol/sdk
.NET Ecosystem
Strongly-typed integration with Microsoft.Extensions.AI.
dotnet add package MCP.Core