The Model Context Protocol, or MCP, is a new open standard that connects AI assistance to arbitrary data sources and tools,

such as codebases, APIs, and content repositories.

Instead of building bespoke integrations for each system, developers can use MCP to establish secure, scalable connections between AI models and the data they need.

By standardizing this connection layer, MCP enables models to access relevant information in real-time,

leading to more accurate and context-aware responses.

David Soria Para is a member of the technical staff Anthropropic where he co-created the model context protocol.

He joins the podcast to talk about his career and the future of context-aware AI.

This episode of Software Engineering Daily is hosted by Jordy Mon Companies.

Check the show notes for more information on Jordy's work and where to find him.

David, welcome to Software Engineering Daily.

Hi, Jordy. How are you doing?

I'm doing well. So, why did you introduce yourself?

Yeah, happy to. I'm David. I'm a member of technical staff at Anthropic. And before that, I've worked roughly like 10 years at Facebook and had like a little stench in a venture capital

called Sutter Hill. And yeah, I've, you know, since a year I'm at Anthropic as a software engineer.

So that is the meat of the conversation, your work at Anthropic, which I'm sure what goes

beyond MCP, which would be the core of the conversation. But I really want to go back even

before your days at Meta, because you start your career as a Ph.PB developer, as a Mercurio contributor.

Walk us through, what got you engaged, I guess, in computer science, in programming?

And what was your first project, were your first steps in this world?

Yeah.

Well, thank you.

I have been doing soft engineering or like I'm programming probably since I'm 14.

...