Introduction to Model Context Protocol
Key Takeaways:- Understand what the Model Context Protocol is and how it supports AI agent tool usage.
- Walk through the process of building a simple agent for exploratory data analysis.
- Learn best practices for prompting and context engineering for agents.
Description
AI agents are moving from simple task automation to solving more complex, real-world problems. Model Context Protocol (MCP) lets developers build agents that coordinate tasks, query data sources, and deliver practical outcomes. In this session, you'll learn core concepts of MCP and build a simple agent that can use tools.
In this code-along webinar, Ben Morss, a Developer Evangelist at DeepL, will teach you how to design and implement an AI agent for apartment hunting. You’ll explore how the Model Context Protocol works, what problems it solves, and how to spin up your own MCP server. Whether you’re experimenting with agents or building production-grade workflows, this session will give you the practical foundation you need.
Presenter Bio
Ben teaches people how to use DeepL's AI translation tools. He has two decades of experience in developer relations, product management, and software engineering. Previously, Ben was a product manager for Chrome at Google. He is also a musician, having played piano and created arrangements for Cake and Wheatus.