Want to see what an MCP server actually does? You can give Claude direct access to FDA drug data in about a minute. There's no coding and nothing to install.
In Claude's settings, find Connectors and choose to add a custom connector. Give it a name like OpenFDA and paste in this address:
Save it, and you're done with setup. Claude will note that custom connectors aren't verified by Anthropic. This one only reads public FDA data and never asks you to sign in.
Start a new chat and ask something in plain English. Try one of these:
Claude recognizes that your question needs real FDA data. It calls this server, which retrieves the official drug label or adverse event reports from the FDA's public database. Claude then reads the results and answers you. You may see a note that it used the OpenFDA tool. That's the MCP server at work.
That's the whole idea behind MCP: it gives an AI a safe, well-defined way to reach real data sources, instead of relying on what it memorized in training.
The same approach can connect an AI assistant to a pharmacy's formulary, a drug interaction database, inventory systems, or internal clinical references. The data stays authoritative and up to date, and the AI does the explaining.
Curious how the server was built, and the clinical judgment calls behind it? Read the case study.
Note: Results come from the FDA's public openFDA database and are provided for informational and demonstration purposes only. They aren't a substitute for professional clinical judgment. Adverse event reports reflect what was reported and don't establish that a drug caused an event.