What it does
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. Connect once and call fifteen clean tools spanning drug labels, approvals, recalls, adverse events, the Orange and Purple Books, 510(k) clearances, clinical trials, NIH grants, CMS Open Payments, PubMed and CDC data. Each tool returns normalized JSON your agent can reason over immediately — no openFDA pagination, no ClinicalTrials.gov query syntax, no Sunshine Act CSV wrangling.
Who it's for
Pharma competitive-intelligence teams, biotech and life-sciences analysts, med-device firms, and developers building healthcare AI agents who want one connection instead of solving six fragmented government APIs.
Sample fields / output
Each record includes drug labels and approvals, recalls, adverse events (FAERS/MAUDE), warning letters, drug shortages, Orange & Purple Books, 510(k) device clearances, pharma catalysts, clinical trials, NIH grants, CMS Open Payments, PubMed, and CDC surveillance — all returned as normalized JSON.
Example use cases
- Give an AI agent live access to FDA approvals, recalls, and adverse events without writing one openFDA query.
- Power pharma and biotech competitive-intel workflows that combine clinical trials, NIH grants, and CMS Open Payments in one schema.
- Build a med-device or life-sciences research assistant that reasons over 15 healthcare sources through a single MCP endpoint.
▶ Run the Healthcare& FDA Intelligence MCP actor on Apify →
Related actors
FAQ
What is an MCP server?
Model Context Protocol is an open standard that lets AI agents call external tools. This actor exposes 15 healthcare data tools any MCP-compatible agent (Claude, Cursor, custom pipelines) can call directly.
Which sources does it cover?
FDA (labels, approvals, recalls, adverse events, warning letters, shortages, Orange/Purple Books, 510(k)), ClinicalTrials.gov, NIH grants, CMS Open Payments, PubMed, and CDC surveillance.
What format does it return?
Normalized JSON with a consistent schema across all sources, so your agent doesn't have to handle each government API's own pagination and quirks.
Top comments (0)