FDA Data MCP

Ben Gendler and Isabell Ludwig looked at FDA data—the sprawling, chaotic repository of drug approvals, clinical trials, adverse events, and label information—and realized every AI developer building healthcare products was manually scraping government websites and writing custom parsers forXML files that look like they were generated in 1998. So they built FDA Data MCP, a unified API that gives developers clean, structured FDA datasets without the nightmare. One endpoint, no more wrestling with 15 different data schemas.

FDA data is a $multi-billion industry indirectly—every pharma AI startup, every drug pricing tool, every medical writing assistant needs access to it. But nobody wants to spend weeks normalizing FDA exports. RegDataLab just became the plumbing everyone will need. Infrastructure that feels boring until you realize you can't build without it.

They're based wherever they are, and if you're building anything with FDA data, you're either going to reinvent this wheel or use theirs.