# Day 1 Lecture: Leveraging MCP and tools to integrate effectively

> In this session , Zach discusses the Model Context Protocol (MCP) and how it enhances AI capabilities beyond simple prompts. He explores the five levels of AI engagement, from basic prompting with ChatGPT to advanced AI agent work, highlighting the importance of tools in enabling AI to take meaning…

- Web page: https://www.dataexpert.io/lesson/building-end-to-end-ai-application-day1-lecture-july25-p737-l1187
- Program: [AIExpert](https://www.dataexpert.io/program/ai-expert)
- Module: Week 5: End-to-End AI Applications
- Access: Requires enrollment in AIExpert
- Length: 31 min video
- Skills: Python, MLOps, APIs
- Academy: DataExpert.io Academy

## About this lesson

In this session , Zach discusses the Model Context Protocol (MCP) and how it enhances AI capabilities beyond simple prompts. He explores the five levels of AI engagement, from basic prompting with ChatGPT to advanced AI agent work, highlighting the importance of tools in enabling AI to take meaningful actions. Zach emphasizes that without tools, AI is limited to providing information rather than executing tasks.

## Navigation

- Previous lesson: [How to deploy AI Agents using Claude managed Agents Lab](https://www.dataexpert.io/lesson/endtoendaiapplicationsday2lab-mar26-p737-l2156.md)
- Next lesson: [Day 1 Lab: Using MCP to build more powerful agents](https://www.dataexpert.io/lesson/building-end-to-end-ai-application-day1-lab-july25-p737-l1188.md)
