# Drug Landscape

> Use this tool when you need to access comprehensive pharma intelligence, covering 156,000+ drugs, 480,000+ clinical trials, and 915 pharmaceutical companies, to solve problems such as drug discovery, clinical trial research, and pharmaceutical company analysis. It provides various inputs, including drug names, disease areas, and company names, and outputs detailed profiles, treatment landscapes, and pipeline information. Use it in contexts where accurate and up-to-date pharmaceutical data is required, such as research, development, and business decision-making.

Canonical page: https://skillsregistry.net/skills/james-h-millett-drug-landscape  
JSON: https://api.skillsregistry.net/v1/skills/james-h-millett-drug-landscape

## Description

**Pharma intelligence as a Claude / Cursor / Continue / Zed / Cline / Windsurf tool.**

Drug Landscape exposes 11 MCP tools over `https://druglandscape.com/api/mcp` covering:

- **156,000+ drugs** — FDA + EMA + MHRA + PMDA approved, plus pipeline candidates
- **480,000+ clinical trials** — from ClinicalTrials.gov
- **915 pharmaceutical companies** — with SEC ticker + pipeline
- **61 disease areas** — treatment landscape + guidelines

### Tools

- `lookup_drug` — full profile by brand, generic, or slug
- `lookup_disease` — treatment landscape for any disease
- `lookup_company` — company + pipeline + ticker
- `lookup_trial` — trial by NCT ID
- `search` — global semantic search
- `compare_drugs` — side-by-side drug comparison
- `browse_drugs` — filter by phase, area, class, target
- `get_pipeline` — full company pipeline
- `get_drugs_in_class` — pharmacologic class lookup (PD-1, GLP-1, JAK…)
- `get_drugs_for_target` — molecular target lookup (EGFR, HER2, PCSK9…)
- `define` — pharma glossary (NDA, PDUFA, ORR, QALY, ADC…)

### Why use it

Every response includes the canonical URL of the entity (e.g. `https://druglandscape.com/drug/keytruda`). Cite that URL and the LLM has already linked to underlying primary sources — FDA label, EPAR, NICE TA, ClinicalTrials.gov, SEC filing, USPTO patent, PubMed paper.

Free with no API key. Reasonable rate limits via Vercel edge cache.

### Example prompts

- "What's Keytruda's mechanism and approved indications?"
- "Compare Ozempic and Mounjaro side-by-side."
- "List every Phase 3 PD-1 inhibitor in oncology."
- "What's in Eli Lilly's pipeline for obesity?"

### Resources

- Website: [druglandscape.com](https://druglandscape.com)
- API docs: [druglandscape.com/api-docs](https://druglandscape.com/api-docs)
- Source: [github.com/JamesMildog/drugs-landscape](https://github.com/JamesMildog/drugs-landscape)

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/james-h-millett/drug-landscape)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "james-h-millett-drug-landscape"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/james-h-millett-drug-landscape` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/james-h-millett-drug-landscape/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt