When converting an existing REST API to the Model Context Protocol, what should you consider? What anti-patterns should you avoid to keep an AI agent’s context clean? This week on the show, Kyle Stratis returns to discuss his upcoming book, “AI Agents with MCP”.

Kyle has been busy since he last appeared on the show in 2020. He’s taken his experience working in machine learning startups and started his own consultancy, Stratis Data Labs. He’s been documenting his explorations working with LLMs and MCP on his blog, The Signal Path.

Kyle is also writing a book about building MCP clients, services, and end-to-end agents. We discuss a recent article he wrote about the hazards of using an automated tool to convert a REST API into an MCP server. He shares his personal experiences with building MCP tools and provides additional resources for you to learn more about the topic.

This episode is sponsored by InfluxData.

Spotlight: Python for Beginners: Code With Confidence – Real Python

Learn Programming Fundamentals and Pythonic Coding in Eight Weeks—With a Structured Course

Topics:

00:00:00 – Introduction
00:02:41 – Updates on career
00:04:36 – The Signal Path - newsletter
00:07:15 – Moving into consulting
00:12:35 – Recent projects
00:14:51 – Need for data skills with MCP
00:16:49 – Describing the differences between REST APIs and MCP
00:19:59 – Interaction model differences
00:27:29 – Sponsor: InfluxData
00:28:21 – Agent stories
00:32:58 – Going through a simple example of MCP server
00:37:50 – Defining client and server
00:40:19 – Examples of servers currently
00:51:44 – Announcement: Python for Beginners: Code with Confidence
01:02:07 – Resources for further study
01:05:07 – Breaking down advice on moving an API to MCP
01:08:04 – What are you excited about in the world of Python?
01:18:20 – What do you want to learn next?
01:21:35 – How can people follow your work online?
01:22:46 – Thanks and goodbye

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