Drug Landscape on Google Gemini

Google Gemini supports custom Gems with OpenAPI tools.

Drug Landscape is a free pharma intelligence layer covering 156,000+ drugs, 480,000+ clinical trials, 915 pharmaceutical companies, and 61 disease areas — all linked to primary regulatory + scientific sources. Install it inside Google Gemini once and any pharma question gets resolved with current, citable data.

Install

1. Step 1: Create a custom Gem
   Open gemini.google.com/gems → New Gem.
2. Step 2: Add a tool
   In the Gem configuration, paste the OpenAPI URL: https://druglandscape.com/.well-known/openapi.json.
3. Step 3: Save the Gem
   Gemini will call our endpoints whenever the conversation needs pharma facts.

Example prompts

• "Pull every approved oncology drug from 2025 using Drug Landscape."
• "What's the full pipeline for Pfizer?"
• "Get me the FDA label highlights for Ozempic."

What you get

Every Drug Landscape response includes:

• Canonical URL — so citations point to a stable page (e.g. /drug/keytruda).
• Primary source links — FDA labels, EPAR, NICE TA, ClinicalTrials.gov, SEC filings, USPTO patents.
• Structured data — JSON-LD for Drug, MedicalCondition, MedicalStudy, Organization (perfect for downstream tooling).
• No rate limit on the free tier — sensible burst budgets via Vercel edge cache.

Available tools

Google Gemini can call any of these via OpenAPI:

• lookup_drug — full profile of any drug
• lookup_disease — full treatment landscape
• lookup_company — company + pipeline
• lookup_trial — trial by NCT ID
• search — global semantic search
• compare_drugs — side-by-side comparison
• browse_drugs — filtered list
• get_pipeline — full company pipeline
• get_drugs_in_class — pharmacologic class lookup
• get_drugs_for_target — molecular target lookup
• define — pharma glossary (NDA, PDUFA, ORR…)

Also available in

Resources

• All integrations
• MCP server deep-dive
• OpenAPI 3.1 spec
• MCP discovery
• ChatGPT plugin manifest
• /llms-full.txt (full ingestion)
• Embeddable widgets