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Search 17M+ biomedical journal abstracts (13M+ in PubMed) by meaning or by exact terms.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A4.3/5.0

Scored across 2 tools

Disambiguation5/5

The two tools are clearly differentiated by search mode: semantic meaning vs exact keyword/Boolean matching. The descriptions explicitly state when to use each, including concrete examples like gene symbols and variants, so an agent can reliably choose.

Naming Consistency4/5

Both names follow a consistent search_corpus prefix with a clear modifier suffix. The pattern is predictable, though the longer keyword variant is a minor deviation from a strict verb_noun form.

Tool Count3/5

Two tools is thin for a scholarly search server, even if each mode earns its place. The surface is narrowly scoped to retrieval, leaving little room for adjacent operations.

Completeness3/5

Search coverage is strong, with rich filters and metadata, but there is no direct get-by-ID tool, citation traversal, related-paper discovery, or full-text access. Agents can work around some gaps via filters, but lifecycle coverage is limited.

Available Tools

2 tools
search_corpusSearch papers by meaningA
Read-onlyIdempotent
Inspect

Semantic search over 11M+ biomedical journal abstracts (more than 7 million of them in PubMed). Finds papers by MEANING, not keywords. Returns papers ranked by a hybrid relevance score (semantic similarity + lexical overlap + citation quality + recency) with abstracts, PMIDs, metadata and DOI links. Supports filters: year range, open access, citations, article type, journal, language, author name, DOI, PMID, and title search.

Inputs: query (required), doi, pmid, topK, +10 more.

search_corpus_keywordSearch papers by exact termsA
Read-onlyIdempotent
Inspect

KEYWORD/Boolean search over the same 11M+ biomedical abstracts, matching EXACT TERMS rather than meaning. Use this instead of search_corpus when the query contains specific identifiers — gene symbols (TP53, BRCA1), variants (p.Gly12Asp, c.35G>A, rs334), accessions, clinical-trial IDs (NCT…), cell lines, drug codes — or when you want PubMed-style Boolean logic. Vector search loses the exact identity of rare strings, so keyword mode is substantially better for these queries and worse for open natural-language questions. Syntax: terms are ANDed by default; AND / OR / NOT are supported; prefix a term with - to exclude it; use "quoted phrases" for exact adjacent wording. A very broad query is ranked over its best BM25 matches.

Inputs: query (required), doi, pmid, topK, +10 more.

Tool Schema Changelog

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