Healthcare & FDA Intelligence MCP — FDA, NIH, CMS & CDC for AI
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from $50.00 / 1,000 aircraft records
Healthcare & FDA Intelligence MCP — FDA, NIH, CMS & CDC for AI
Healthcare & FDA Intelligence MCP gives any AI agent one connection to 15 tools across FDA drug labels, approvals, recalls, adverse events, warning letters, the Orange & Purple Books, 510(k) devices, ClinicalTrials.gov, NIH grants, CMS Open Payments, PubMed and CDC data. Normalized JSON.
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🏥 Healthcare & FDA Intelligence MCP
One MCP connection. The FDA, NIH, CMS, CDC, and ClinicalTrials.gov — all agent-ready.
Healthcare & FDA Intelligence MCP is a Model Context Protocol server that gives any AI agent — Claude, ChatGPT, Cursor, or a custom pipeline — direct, structured access to the core US healthcare and life-sciences data streams: drug labels and approvals, adverse events, recalls, warning letters, drug shortages, the Orange and Purple Books, 510(k) device clearances, pharma catalysts, clinical trials, NIH grants, CMS Open Payments, PubMed, and CDC surveillance.
Connect once and call fifteen clean tools. Each returns normalized JSON your agent can reason over immediately — no openFDA pagination, no ClinicalTrials.gov query syntax, no Sunshine Act CSV wrangling. Built for pharma competitive-intel, biotech analysts, med-device firms, and life-sciences investors.
Why this exists
Healthcare data is the richest free public dataset in existence and one of the most fragmented. openFDA, ClinicalTrials.gov, NIH RePORTER, CMS Open Payments, the FDA Orange/Purple Books, and CDC WONDER each have their own API, format, and rate limits — and none of them share a schema. Pulling them together for an agent means solving each one and re-solving as they change. This server does that work once and exposes the result as agent-native tools.
The same NexGenData infrastructure that powers our standalone FDA, pharma, and healthcare actors — used by pharma competitive-intelligence teams, biotech analysts, med-device firms, and life-sciences investors — now sits behind a single streamable-HTTP endpoint.
The fifteen tools
| Tool | What it does |
|---|---|
search_drug_labels | FDA drug labels, approvals, safety (openFDA) |
fda_drug_approvals | New FDA drug approvals (NDA/BLA/ANDA) |
fda_adverse_events | FAERS drug + MAUDE device adverse-event reports |
fda_recalls | FDA drug & device recalls and safety alerts |
fda_warning_letters | FDA warning letters + Form 483 inspection findings |
track_drug_shortages | Current and resolved FDA drug shortages |
search_orange_book | Drug patents & exclusivity (generic-entry timing) |
search_purple_book | Biologics & biosimilars + reference-product linkage |
search_device_510k | FDA 510(k) medical-device clearances |
track_pharma_catalysts | Pipeline catalysts and PDUFA decision dates |
search_clinical_trials | ClinicalTrials.gov by condition, sponsor, phase |
search_pubmed | PubMed biomedical literature |
nih_grants | NIH RePORTER funded research grants |
cms_open_payments | CMS Open Payments (Sunshine Act) pharma-to-physician |
cdc_surveillance | CDC WONDER + FluView public-health surveillance |
Every tool accepts a criteria object and a limit, and returns a uniform {tool, count, total_available, results} envelope — one parser for all fifteen.
Quick start
Sample call and response
Search FDA recalls for a specific drug:
Common agent workflows
Generic-entry / patent-cliff analysis. Chain search_orange_book and search_purple_book to map when a drug's patents and exclusivity expire and which biosimilars reference it — the timing that drives generic competition.
Drug-safety monitoring. Run fda_adverse_events, fda_recalls, and fda_warning_letters on a product or manufacturer to build a live safety-signal feed.
Pharma catalyst calendar. Combine track_pharma_catalysts, fda_drug_approvals, and search_clinical_trials to track the events that move biotech valuations.
Payer & provider intelligence. Use cms_open_payments to surface pharma/device financial relationships with named physicians.
Research landscaping. Pair search_pubmed and nih_grants to map who is publishing and who is funded in a therapeutic area.
How this compares
vs. IQVIA / Citeline / Definitive Healthcare: built for enterprise seats. This is built for agents and returns machine-ready JSON with source identifiers.
vs. raw openFDA + ClinicalTrials.gov + NIH + CMS: each is free but has a different API, format, and rate limit. This unifies fifteen of them behind one schema and one connection.
FAQ
Do I need an FDA or NIH API key? No — only an Apify token for the MCP endpoint; upstream access is handled server-side.
How fresh is the data? Each tool queries its source live at call time.
Does this cover ClinicalTrials.gov as well as openFDA? Yes — one connection unifies six agencies (FDA, NIH, CMS, CDC, ClinicalTrials.gov, and PubMed), so you are not limited to a single openFDA endpoint.
Can I filter by date, drug, or sponsor? Yes — pass those in the criteria object; supported filters depend on the source.
Is this medical advice? No. This returns public regulatory and research data for informational use only — not medical advice.
Is the schema stable? Yes — every tool returns the same envelope; we version any changes.
Healthcare & FDA Intelligence MCP — by NexGenData. The FDA, NIH, CMS, and CDC, agent-ready.
