xby-article

Literature research rarely stays inside a single database. Between Europe PMC, PubMed, CrossRef, and arXiv, pulling together metadata, full texts, citation networks, and journal rankings is a grind. xby-article folds all of that into one MCP toolchain: a keyword search fans out across multiple sources and returns PMCIDs, which you then use to fetch full texts on demand, sliced by section (Methods, Discussion, Conclusion, etc.) and formatted as Markdown, XML, or plain text, with batch mode supporting up to twenty papers per call.

Beyond search, it covers the follow-up questions that usually cost the most time. You can retrieve a paper's complete reference list via DOI, PMID, or PMCID with automatic deduplication; map citation relationships, citing papers, and similar works in single, batch, or full network modes; and evaluate journal quality across two data sources (EasyScholar and OpenAlex) to get impact factor, quartile ranking, CAS zone, h-index, and more, with optional sorting for batch queries.

It is aimed at graduate students and researchers who need to verify paper details mid-conversation or write literature reviews faster, and at developers who want to plug academic search into their own agent pipelines or give non-technical teammates a zero-friction way to look up papers.