Drug Landscape on Cline

Cline is an autonomous coding agent for VS Code (formerly Claude Dev).

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 Cline once and any pharma question gets resolved with current, citable data.

Install

1. Step 1: Open the Cline MCP panel
   Cline sidebar → MCP Servers tab.
2. Step 2: Add Drug Landscape
   Click "Add new server" → paste URL https://druglandscape.com/api/mcp, transport HTTP.
3. Step 3: Save + reload
   Cline persists the config in ~/Documents/Cline/MCP/cline_mcp_settings.json.

Config block

{
  "mcpServers": {
    "drug-landscape": {
      "transport": "http",
      "url": "https://druglandscape.com/api/mcp",
      "alwaysAllow": []
    }
  }
}

Example prompts

• "Use Drug Landscape to look up the Pfizer pipeline, then generate a React table."
• "Pull every Phase 3 GLP-1 trial and write a CSV importer."

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

Cline can call any of these via MCP:

• 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