`pubmed_evidence_landscape`

Pack: pubmed · Endpoint: https://gateway.pipeworx.io/pubmed/mcp

Profile the composition of a biomedical evidence base by counting PubMed publication types for a topic: clinical trials, randomized trials, systematic reviews, meta-analyses, observational studies, and case reports. Use for evidence diligence and questions like “what kinds of studies exist on this target or therapy?” Counts are publication-index signals, not efficacy, quality, independence, or clinical-success judgments.

Parameters

Name	Type	Required	Description
`query`	string	yes	PubMed topic query, including field qualifiers when useful.
`from_year`	number	no	Optional first publication year (four digits).
`to_year`	number	no	Optional last publication year (four digits).

Example call

Arguments

{
  "query": "KRAS G12C non-small cell lung cancer",
  "from_year": 2020,
  "to_year": 2026
}

curl

curl -X POST https://gateway.pipeworx.io/pubmed/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"pubmed_evidence_landscape","arguments":{"query":"KRAS G12C non-small cell lung cancer","from_year":2020,"to_year":2026}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('pubmed_evidence_landscape', {
  "query": "KRAS G12C non-small cell lung cancer",
  "from_year": 2020,
  "to_year": 2026
});

Connect

Add this to your MCP client config, or use one-click install buttons:

{
  "mcpServers": {
    "pubmed": {
      "url": "https://gateway.pipeworx.io/pubmed/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

pubmed_evidence_landscape