In episode 11 of Open Source Ready, Brian Douglas and John McBride sit down with AI expert Steve Manuel to explore the Model Context Protocol (MCP)—a framework that enhances how models interact with their environments. They break down why context-awareness is crucial for machine learning and how MCP is transforming open source AI.

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Open Source Ready - Ep. #11, Unpacking MCP with Steve Manuel

Discover how Model Context Protocol (MCP) is revolutionizing AI integration. Learn why MCP is being called "HTTP for AI" and its impact on LLM capabilities.

Model Context Protocol - AI's Next Data Frontier

This week’s guest is Nick Kolba, CEO and co-founder of Connectifi, who joins the podcast to discuss the Model Context Protocol, LLMs and agentic AI.  

0:00 – Tony and Shen talk about Astronomer’s ad campaign
5:30 – Nick Kolba joins the podcast 
8:00 – Step changes or big jumps in tech
18:00 – Excitement for the Model Context Protocol
21:00 – Parallels between FDC3 and MCP
24:30 – Concerns around security
30:00 – Work that still needs to be done
41:00 – Code generation for “senior engineers”


Episode 326: Connectifi’s Nick Kolba

Today we continue our exploration of vibe coding by digging into the Model Context Protocol, or MCP. We look at how MCPs connect chatbots to backend systems, why natural language matters for complex queries, and what it takes to build smarter, more adaptable interfaces. The discussion covers practical strategies for refining and automating these systems using API docs, making this a solid deep dive into the future of human-to-machine interaction.

Transcript: https://otter.ai/u/5zn42OkdumP-HXIdi5YlicUmYRc?utm_source=copy_url 

Model Context Protocol Exploration

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