In this episode, we explore how the Model Context Protocol (MCP) is changing what it means to “chat” with factory data. For a long time, conversational interfaces with industrial systems felt like demos — impressive for simple questions, but fragile when real engineering problems showed up. MCP begins to shift that. Instead of treating chat as a layer on top of data, it connects AI tools directly to structured industrial context. We walk through why factory data is often messy, fragmented, and hard to reason about, and how MCP can turn conversational interfaces into something closer to an engineering tool. The conversation stays practical, focusing on real shop-floor data and the challenges behind making it usable. For deeper reading and more real-world insights, visit iiotblog.com.