`pubmed_get_related_articles`

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

Find papers SIMILAR to a given article — NIH PubMed’s own computed ‘related articles’ (pubmed_pubmed neighbors), ranked by relevance using shared terms/MeSH/citations. Pass one PMID; returns the top related papers with full citation metadata (title, authors, journal, date, DOI). Use for “more papers like this”, building a reading list from a seed paper, or broadening a literature search beyond keyword matches. Distinct from pubmed_get_citations (which finds papers that cite this one).

Parameters

Name	Type	Required	Description
`pmid`	string	yes	A single PubMed ID to find neighbors for (e.g., “24025838”)
`limit`	number	no	Number of related articles to return (1-50, default 10)

Example call

Arguments

{
  "pmid": "24025838",
  "limit": 5
}

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_get_related_articles","arguments":{"pmid":"24025838","limit":5}}}'

TypeScript (@pipeworx/sdk)

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

const result = await pipeworx.call('pubmed_get_related_articles', {
  "pmid": "24025838",
  "limit": 5
});

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_get_related_articles