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MCP Fundamentals for Building AI Agents*

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1.LLMs to Agents

Welcome Note Why LLMs Fall Short Key Limits of LLMs Why Tools Change Everything LLM to Agent Leap Why Agents Still Struggled Quiz: LLMs to Agents Key Takeaway: LLMs to Agents

2.Model Context Protocol

What Is MCP?Why Agents Fail Without MCP What MCP Actually Fixes MCP Is the USB-C Moment for AI Before vs. After MCP Quiz: What is MCP Key Takeaway: What is MCP?

3.MCP Architecture

Three Roles in MCP The Host: The System Orchestrator The Client: The Agent’s Brain The Server: Tools, Data, and Actions How These Roles Work Together The Pillars of MCP Architecture Quiz: MCP Architecture Key Takeaway: MCP Architecture

4.Creating MCP Server

What an MCP Server Does Scenario: Wikipedia Research Assistant Example: A Tool in MCP Format Why MCP Servers Scale Quiz: Creating MCP Server Key Takeaway: Creating MCP Server

5.Creating MCP Client

What the MCP Client Does Scenario: How the Client Behaves Key Components of the Client Before vs After: Building Clients Connecting to the Server (Concept Code)Tool Loading + LLM Setup How the Agent Decides Quiz: Creating MCP Client Key Takeaway: Creating MCP Client

6.MCP Prompts

What MCP Prompts Are Why Prompts Matter Defining a Prompt (Concept Code)How the Client Uses Prompts Quiz: MCP Prompts Key Takeaway: MCP Prompts

7.MCP Resources

What MCP Resources Are Why Resources Matter Creating a Server Resource (Concept Code)How the Client Uses Resources Quiz: MCP Resources Key Takeaway: MCP Resources

8.Wrapping Up

Course Wrap-Up What You Built Key Skills You Gained What to Try Next Final Takeaway

MCP Fundamentals for Building AI Agents*

Three Roles in MCP

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