MCP are poised to be the connective tissue between large‑language models and the data they need. Despite this, many projects still stall at the prototype stage. This talk distills what actually works in production, what still breaks, and why. We’ll look at the real environments where MCP is thriving, the hurdles teams hit when they move to productize it. Finally, we’ll share a view of the road ahead as context becomes a first‑class product surface.