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Dangers of Automatically Converting a REST API to MCP

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Manage episode 507288858 series 2637014
Content provided by Real Python. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Real Python or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

277 episoade

Artwork
iconDistribuie
 
Manage episode 507288858 series 2637014
Content provided by Real Python. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Real Python or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

277 episoade

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