# MCP and Agentic AI Day 1 Lab

> In this video, Zach walks through the MCP Agents Lab, focusing on the tools being used, particularly Langchain and its MCP adapters. He dives into how to create and utilize various tools for GitHub, including generating issues and pull requests, while emphasizing the importance of type hinting in P…

- Web page: https://www.dataexpert.io/lesson/mcpandagenticaiday1lab-0ct2025
- Program: [AI Engineering Boot Camp starting October 20th, 2025](https://www.dataexpert.io/program/the-ai-engineering-challenge-starting-october-20th-2025)
- Access: Requires enrollment in AI Engineering Boot Camp starting October 20th, 2025
- Length: 1 h 13 min video
- Academy: DataExpert.io Academy

## About this lesson

In this video, Zach walks through the MCP Agents Lab, focusing on the tools being used, particularly Langchain and its MCP adapters. He dives into how to create and utilize various tools for GitHub, including generating issues and pull requests, while emphasizing the importance of type hinting in Python for better context understanding. Zach also demonstrates the process of creating an agent that interacts with multiple repositories and discusses the challenges faced with rate limits and tool management.

## Navigation

- Previous lesson: [MCP and Agentic AI Day 1 Lecture](https://www.dataexpert.io/lesson/mcpandagenticaiday1lecture-oct2025.md)
- Next lesson: [MCP and Agentic AI Day 2 Lecture](https://www.dataexpert.io/lesson/mcp-and-agentic-ai-day2-lecture-oct2025.md)