MCP & A2A - Model Context Protocol & Agent to Agent Protocol

About this course

NEW (FEB 2026) - MCP Version 2 updates added to course for MCP Server. Note that other updates are in progress! MCP is migrating to Version 2 by around end of March 2026. I am adding updates to the course to reflect those changes.

TLDR - In this course, you'll learn about MCP & A2A - Model Context Protocol & Agent2Agent Protocol. We will build 5 MCP Clients and 3 MCP Servers from Scratch. You'll build a UI for MCP client in Streamlit in Python. You'll learn to deploy your MCP Server to Google Cloud using Server Sent Events. To top it all, we'll use a free Gemini API Key from Google so you don't need to pay for AI Models when learning! We then build A2A Agents, Clients and Servers and use Google's ADK or Agent Development Kit. Integrate MCP + A2A together

Key Objectives of Course

Use of MCP v2 (new update expected around end of March 2026)MCP Authentication - Sign in to MCP server with Google!

Build A2A Servers, Clients and Agents (using Google's ADK or agent development kit) - in BetaConnect 3 Agents via A2A with full code implementation

Build a Host Orchestrator agent - integrate with A2A + MCPA2A Python SDK

Build 5 MCP Clients: #1. Basic Python + Gemini #2. LangGraph Based #3. LangGraph (with config.json) #4. Server Sent Events (SSE)#5. Streamlit MCP Client#6 Streamable HTTP Client

Build 4 MCP Servers: #1 Python STDIO based #2 Python STDIO (with Docker) #3 Server Sent Event (SSE) Server#4 Streamable HTTP ServerConnect your se

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