Today I returned to the Real Python podcast after several years to talk about my recent post about autoconverting REST APIs to MCP servers, Jeremiah Lowin's article that inspired it, and, of course, AI Agents with MCP.
You can give the episode a listen here or wherever you got your podcasts. Let me know what you think!
I wrote a guest blog for the Open Data Science Conference, where I'll be giving a virtual workshop on building MCP clients in order to supercharge intelligent AI applications. If you ever wanted a quick overview (with code!) on how to build an MCP client that will allow
A few days ago, the maintainers of the Model Context Protocol announced that they had released the MCP Registry. This is an exciting development in the world of MCP for a few reasons: * It creates a standard way to distribute servers * It's open-source * Most excitingly, it allows the
This might be the most common MCP antipattern I see, and it's not helped by a bevy of startups and products offering to automate this process for you. Of course, it's tempting: APIs are APIs after all, right? Wrong.
Have you ever wondered about where MCP came from, what inspired it, and why it's built the way it is? Today, we will get into a time machine and travel all the way back to 2024, when an Anthropic engineer was getting annoyed at having to constantly switch