Mastering Mcp: Beginner To Pro Across The Ai Ecosystem

MCP Across AI Frameworks & Platforms: LangChain, LlamaIndex, OpenAI SDK, Google ADK, Claude, Azure OpenAI & Gemini

What you'll learn

What is Model Context Protocol ?

What is a Model / Context / Protocol ?

History & Transition to MCP

Key Features & Benefits of MCP

A Quick intro to Anthropic & Claude

Why the mention of Anthropic for MCP

How is it trending on Github Stars

Core Architecture of MCP

Key Components- Deep Dive

What is JSON-RPC 2.0 ?

MCP Transport Layer

Transport Mechanism - STDIO vs SSE

What is Claude Desktop

Demo using Claude Desktop

Enable Filesystem MCP Server in Claude

Enable Sqlite MCP Server in Claude

Working on the Pre-reqs for Future Lab Exercises

Langchain-Gemini-Sqlite MCP Server

LlamaIndex-Azure OpenAI-Filesystem MCP

OpenAI SDK & Azure MCP Server

Google ADK & Paypal MCP Server

Requirements

Basic Understanding of Generative AI

Basic Understanding of Python

Basic Understanding of Large Language Model (LLM)

How to use LLMs with Python

Understanding of Azure / Open AI / Google Gemini

Basic Understanding of AI Agents

Description

Description:Dive into the evolving world of Model Context Protocol (MCP) and learn how to harness its full potential across today's leading AI frameworks and platforms.This course is designed for learners of all levels — whether you're a no-code enthusiast or a Python developer — and takes you on a practical journey from foundational concepts to advanced integrations.You'll explore how MCP is implemented and extended across top-tier AI platforms, gaining real-world experience with tools used by industry leaders.What You'll Learn:The Foundations of Model Context Protocol (MCP): Understand its role in building contextual, memory-aware AI systems.No-Code to Pro-Code: Start with intuitive interfaces and transition into Python-based development.LangChain: Build complex agent workflows and memory chains with MCP integration.LlamaIndex: Implement Retrieval-Augmented Generation (RAG) pipelines for smarter context handling.OpenAI Agents SDK: Use MCP in GPT-powered apps with advanced prompt engineering and session management.Google ADK: Integrate Google’s tools with MCP-based workflows.Claude (Anthropic): Work with high-context, safety-first AI models.Azure OpenAI: Deploy MCP-powered models in enterprise-ready environments.Gemini (Google DeepMind): Explore the cutting edge of multimodal MCP applications.Who This Course is For:No-code builders looking to level up with PythonDevelopers and engineers interested in cross-platform AI designProduct teams building memory-aware assistants or RAG systemsAI enthusiasts exploring advanced prompting, agents, and context managementBy the end of this course, you’ll not only understand the core mechanics of MCP, but also know how to implement it across frameworks to build scalable, contextual, and intelligent AI systems.

Overview

Section 1: MCP Introduction

Lecture 1 Title - Introduction to MCP

Lecture 2 What is MCP ?

Lecture 3 What is a Model ?

Lecture 4 What is Context ?

Lecture 5 What is a Protocol ?

Lecture 6 Demo: Something that we shall build together

Lecture 7 History & Transition to MCP

Lecture 8 Key Features & Benefits of MCP

Lecture 9 A Quick intro to Anthropic & Claude

Lecture 10 Why the mention of Anthropic for MCP

Lecture 11 Adoption by Big Vendors

Lecture 12 How is it trending on Github Stars

Section 2: MCP Architecture and Components

Lecture 13 Title - MCP Architecture

Lecture 14 Core Architecture of MCP

Lecture 15 Key Components- Deep Dive

Lecture 16 What is JSON-RPC 2.0

Lecture 17 MCP Transport Layer

Lecture 18 Transport Mechanism - STDIO

Lecture 19 Transport Mechanism - SSE

Section 3: Understand MCP using Claude Desktop

Lecture 20 Title- MCP With Claude Desktop

Lecture 21 What is Claude Desktop

Lecture 22 Demo using Claude Desktop

Lecture 23 Enable Filesystem MCP Server in Claude

Lecture 24 Enable Sqlite MCP Server in Claude

Section 4: Working on the Pre-reqs for Future Lab Exercises

Lecture 25 Title - Pre-Reqs for Lab Exercises

Lecture 26 Visual Studio Code - Article

Lecture 27 Demo: VsCode

Lecture 28 Install git - Article

Lecture 29 Demo: git

Lecture 30 Create Azure OpenAI Service & Deployment - Article

Lecture 31 Demo: Azure OpenAI Service and Deployment

Lecture 32 Get API Keys in Google, OpenAI , Azure OpenAI - Article

Lecture 33 Demo: Create API Keys in Google / OpenAI / Azure OpenAI

Lecture 34 Install nodejs, npm, npx - Article

Lecture 35 Demo: Installing nodejs/npm/npx

Lecture 36 Installing Azure CLI - Article

Lecture 37 Demo: Installing Azure CLI

Section 5: Langchain & MCP

Lecture 38 Title - Langchain-Gemini-Sqlite MCP Server

Lecture 39 What is Langchain

Lecture 40 What is Langchain MCP Adapter

Lecture 41 Understand the Workflow

Lecture 42 Work on the Pre-reqs

Lecture 43 Demo: Project Setup and Install Packages

Lecture 44 Demo: Setup MCP Sqlite Server & Google API Key

Lecture 45 Demo: Understand the Code

Lecture 46 Demo: Run the Application

Section 6: LlamaIndex & MCP

Lecture 47 Title - LlamaIndex-Azure OpenAI-Filesystem MCP

Lecture 48 What is LlamaIndex ?

Lecture 49 LangChain Vs Llamaindex

Lecture 50 Importance of MCPToolSpec

Lecture 51 Understand the Workflow

Lecture 52 Get an Understanding of Filesystem MCP Server

Lecture 53 Demo: Get an Understanding of Pre-reqs

Lecture 54 Demo: Create Project Environment & Install Packages

Lecture 55 Demo: Understanding the Code

Lecture 56 Demo: Running the Code

Section 7: OpenAI Agents SDK & MCP

Lecture 57 Title - OpenAI SDK & Azure MCP Server

Lecture 58 What is OpenAI Agents SDK

Lecture 59 What is Azure MCP Server ?

Lecture 60 Understand the Workflow

Lecture 61 Demo: Work on the Pre-Reqs

Lecture 62 Demo: Project Setup & Install Packages

Lecture 63 Demo: Check Environment File & Ensure az cli works

Lecture 64 Demo: Understanding the Code

Lecture 65 Demo: Running the Code

Section 8: Google ADK & Paypal MCP Server

Lecture 66 Title - Google ADK & Paypal MCP Server

Lecture 67 What is Google ADK ?

Lecture 68 What is Paypal MCP Server ?

Lecture 69 Understand the workflow

Lecture 70 Demo: Pre-Reqs , Project Setup & Installing Packages

Lecture 71 Demo: Understanding the Code

Lecture 72 Demo: Running the Code

Section 9: New Content

Lecture 73 New Content

Beginner to Model Context Protocol - MCP,Understand No-Code & Python Code for each Use Case,No-Code Enthusiasts & Citizen Developers,Machine Learning Engineers & AI Practitioners,Product Managers & Tech Leads