Module
Module 1 of 7Lesson 1 of 1~3 min

Course overview

Lesson 1 of the module "Overview" in the course "Connect AI to your tools and data with MCP".

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this overview, you will know what you are going to produce (your "use / expose an MCP server" decision and an existing server that is connected, restricted and verified) and in what order the six modules get you there.

Where it fits

Overview

What will I decide and connect in this course, and in what order?

Lessons in this module

  1. Course overview (this lesson)

What you will learn in the course

This lesson is part of the course Connect AI to your tools and data with MCP

  • Explain what MCP standardizes (host, client, server; tools, resources, prompts; transports; authorization) and what each element implies for a product.
  • Choose between an MCP server, a direct API integration, an in-house tool and a skill for a given need, and justify the choice.
  • Find, evaluate and connect an existing MCP server in a free client, with limited rights, and verify what it actually exposes.
  • Identify the risks specific to MCP (tool poisoning, rug pulls, injection through results, over-broad permissions, confused deputy, supply chain) and specify the matching guardrails.
  • Decide whether to expose your product as an MCP server and, if so, specify its scope (users, tools, rights, authentication, measurement).

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