Mastering Model Context Protocol (MCP): A Practical Guide
Design robust AI backends with MCP: context-rich, secure, and ready for deployment.
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Mastering Model Context Protocol (MCP) is your practical guide to building robust, secure, and production-ready AI backends using the FastMCP ecosystem.
This course walks you through every step—from spinning up a minimal MCP server to deploying a full-stack application that integrates LangGraph, FastAPI, and OAuth 2.1 security.
You’ll learn how to design modular, extensible systems that provide high-quality context to LLMs through modern protocols and best practices. With a strong focus on hands-on development, this course prepares you to build scalable MCP-powered applications that are ready for real-world use.
Course Highlights
MCP Fundamentals
Set up a basic FastMCP server and client. Understand the JSON-RPC request/response cycle and handle errors effectively.
Transport Methods
Work with SSE, streamable-http (stateless & stateful), and stdio. Learn how to switch between transports and apply them in different scenarios.
Advanced MCP Features
Implement key features like Tools, Resources, Prompts, Discovery, Roots, and Sampling to create dynamic and adaptive context pipelines.
LangGraph Integration
Build a LangGraph client that interacts with your MCP server and generates intelligent, human-like responses using stateful logic.
Security with OAuth 2.1
Secure your endpoints using Auth0 and OAuth 2.1. Apply scopes, token management, and best practices for safe deployments.
FastAPI & Proxy Patterns
Embed MCP into FastAPI, compose services for modularity, and create proxy bridges to support legacy systems or alternate transports.
Full-Stack Deployment (Capstone)
Combine all components—frontend, API, MCP server, and LLM backend—into a Dockerized, production-ready solution.
By the end of this course, you’ll not only understand the theory behind MCP but also have the skills to build, secure, and deploy it in modern AI workflows.
Whether you're a developer exploring LLM infrastructure or an engineer building context-aware systems, this course gives you the practical tools to take your AI applications to the next level.
Let’s build the next generation of intelligent, context-driven systems :-)