FDA Data MCP gives AI agents clean, structured access to FDA datasets through one unified interface. Instead of scraping dozens of messy FDA endpoints, developers can query facilities, recalls, inspections, and companies using 33 ready-to-use tools. Built for AI agents, sales, research apps, and healthcare builders who need regulatory data fast.
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Hi Product Hunt!
We built FDA Data MCP after running into the same problem many developers hit when working with FDA data β itβs spread across dozens of datasets, inconsistent, and difficult to use in modern applications.
FDA Data MCP brings those datasets together into a single MCP server designed for AI agents and developer tools. It includes 33 ready-to-use tools covering things like facilities, recalls, inspections, and company resolution.
The goal was simple: make FDA data easy to query and usable inside AI workflows without having to clean or normalize everything yourself.
Would love to hear what you think or how you might use it!
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Nice one Isabell! Do your tools cover drug approval histories and adverse event reporting (FAERS) for specific drug classes, or is coverage primarily focused on facilities/devices/recalls? Specifically, can I query approval timelines and clinical review data for 505(b)(2) reference products as an example?
Nice one Isabell! Do your tools cover drug approval histories and adverse event reporting (FAERS) for specific drug classes, or is coverage primarily focused on facilities/devices/recalls? Specifically, can I query approval timelines and clinical review data for 505(b)(2) reference products as an example?
Link to GitHub to get started FDA MCP