Drug Landscape on Continue.dev

Continue.dev is an open-source AI code assistant for VS Code + JetBrains.

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

Install

1. Step 1: Open Continue config
   Click the gear icon in the Continue sidebar, or edit ~/.continue/config.json directly.
2. Step 2: Add the MCP server block
   Add (or merge into) the experimental.modelContextProtocolServer section as shown below.
3. Step 3: Reload Continue
   Use the Continue command palette to reload. Drug Landscape's tools become available in chat + agent mode.

Config block

{
  "experimental": {
    "modelContextProtocolServer": {
      "transport": {
        "type": "http",
        "url": "https://druglandscape.com/api/mcp"
      }
    }
  }
}

Example prompts

• In Continue chat: "Use Drug Landscape to look up Keytruda and generate a TypeScript interface."
• In agent mode: "Find all GLP-1 drugs and seed a comparison table component."

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

Continue.dev 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