Your AI assistant can cite the FDA record

AI assistants already read Atlas millions of times each month. Atlas is built for them: the first regulatory-data server in the official MCP registry, with OAuth sign-in, a REST API, and answers that always link back to a source page a human can verify.

Why agents get better answers here

FDA's own API has no predicate field, no AI-device flag, and keeps recalls in a silo the clearance database never references. Atlas does those joins ahead of time, so one tool call returns what would otherwise take an agent a dozen scrapes: predicate candidates with recall indicators, review-time statistics computed from the full record, and FDA's AI-enabled device list joined to its clearances. Seven tools, all read-only, all documented on the server page.

Honest metering: search and review-time statistics allow an anonymous taste. Everything else meters against a free key with 1,000 calls a month; Pro and Business lift the limits. Your users never hit a paywall mid-conversation without being offered a sign-in first.

Predictable under load: pagination is bounded (limit up to 1,000, malformed values rejected with a clean 400), and a slow query returns a fast 503 with Retry-After rather than hanging your agent. Details in the API documentation.