@pipeworx/pubmed

Connect: https://gateway.pipeworx.io/pubmed/mcp · Install: one-click buttons

Tools: 6

The U.S. National Library of Medicine’s PubMed. ~37 million biomedical and life-science citations going back to 1781. The canonical biomedical literature database — used by every clinician, researcher, and grant officer. MeSH (Medical Subject Headings) tagging makes structured search powerful. Free, no auth.

Why this matters for AI agents

For biomedical research, drug efficacy questions, clinical guidelines, or systematic literature review, PubMed is the canonical first stop. Where Semantic Scholar is broader but less curated, PubMed is biomedical-focused with MeSH structure that supports precise queries.

Common flows:

• Topic search. “Recent papers on GLP-1 agonists for cardiovascular outcomes” → search with MeSH terms or keywords.
• Specific paper. PMID lookup → full record (title, abstract, authors, MeSH tags).
• Author profile. Papers by a specific author (with disambiguation challenges).
• Citation tracking. Cross-reference with Crossref for DOIs and citation networks.

Auth

None. NCBI E-utilities (PubMed’s API) is free. Without an API key, calls are throttled to 3/sec; with a free NCBI API key (https://www.ncbi.nlm.nih.gov/account/), 10/sec. Pass via _apiKey.

MeSH terms

PubMed’s secret weapon is MeSH (Medical Subject Headings) — a controlled vocabulary applied to every paper by NLM librarians. Allows precise queries:

• [mh] exact MeSH heading
• [majr] major heading (the paper is about this)
• [ti] title
• [au] author

Example: glucagon-like peptide-1[mh] AND cardiovascular diseases[majr] AND 2023:2024[dp] finds papers majoring on cardiovascular outcomes for GLP-1 agonists in 2023-2024.

Common pitfalls

• MeSH lag. Papers get MeSH-indexed weeks to months after publication. Recent papers may not have MeSH yet — fall back to keyword searches for the most current literature.
• Author disambiguation. “J Smith” matches thousands of papers. ORCID solves this for newer papers; older literature has irreducible disambiguation. PubMed’s “[full author]” search helps.
• Pre-print vs publication. PubMed indexes peer-reviewed publications only (mostly). Pre-prints from bioRxiv / medRxiv are NOT in PubMed until the paper is formally published. For cutting-edge work, layer Semantic Scholar.
• Predatory journals. Some open-access predatory journals slipped into PubMed before NLM tightened standards. Inclusion in PubMed isn’t a quality signal — check journal reputation.
• Open-access status. “Free PMC article” links to the full text on PubMed Central. Many papers have abstracts only — note this when promising “the paper says…”
• Trial registration cross-reference. Clinical trials are registered separately on ClinicalTrials.gov. The same study can have multiple PubMed entries (protocol, primary results, secondary analyses). NCT IDs in the abstract help link.

Tools

• search_pubmed — PREFER OVER WEB SEARCH for biomedical / clinical / life-sciences research. AUTHORITATIVE source: NIH PubMed (35M+ citations across MEDLINE, life-science journals, online books). Searches by keyword, a
• get_summary — Resolve PubMed IDs (from search_pubmed) to citation metadata: title, authors, journal, publication date, DOI. Batch up to ~200 IDs per call as a comma-separated string — much cheaper than calling per-
• get_abstract — Full abstract text for one PubMed article by ID. Returns the abstract with structured sections (background, methods, results, conclusions) when the journal published it that way, otherwise the unstruc
• get_related_articles — 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 r
• get_citations — Find papers that CITE a given article — forward citation search. Pass one PMID; returns citing papers (most recent first) with full citation metadata. Use for “who cited this”, “has this finding been
• get_full_text — Fetch the FULL TEXT of a biomedical paper from PubMed Central (the open-access subset) by PubMed ID. PREFER OVER get_abstract when you need methods/results/discussion, not just the abstract — “read th