TL;DR: Structured dietary verdicts, not hallucinated text. We built an MCP server that gives AI agents structured dietary-fit verdicts across ~370K US restaurants, with confidence levels, reason codes, and an honest "unknown" option when evidence is thin. Try it out for free. The problem with asking AI about dietary needs Ask AI to recommend a strict-vegan restaurant in city X serving Y. Most likely, it will give you some hallucinated menu items, a simple gmaps link or just a guess based on what category tags it finds in Google for that specific place. The link between the actual evidence and the AI's verdict is, to put it mildly, blurry. LLMs are very good at sounding confident, even if there is little basis for their claims. They will very rarely say "I don't know" — they always give you something. So if you want to use their output, take it with a huge grain of salt — it might be a miss as easily as it can be a win. And when we are talking about people's dietary needs, that can be outright dangerous.…