pubmed_get_related_articles

Pack: pubmed · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)

No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/pubmed_get_related_articles for the schema, then POST the same URL with its arguments for the data.

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

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 — every tool in the catalog, including this one — or use one-click install buttons:

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

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

See Getting Started for client-specific install steps.