Papers
by FastDrop
Scholarly paper search with real citations for AI assistants, over MCP.
Scholarly paper search with real citations for AI assistants, over MCP. Official MCP Registry: io.github.LAHutchins91/papers@1.0.0. Remote endpoint: https://papers-mcp.vercel.app/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as io.github.LAHutchins91/papers and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Read directly from the endpoint on 5 Oct 2026. Not supplied by the maker.
search_papersSearch peer-reviewed and preprint records by question or keywords. Filters: year_from, year_to, field, open_access, and source (openalex, semantic_scholar, pubmed, crossref, arxiv, or all). Returns on
get_paperFetch one paper's title, authors, year, venue, and abstract by DOI, PMID, arXiv id, or OpenAlex work id. Metadata comes from the API that resolved the identifier. If no source returns a record, say so
find_related_papersList papers that cite a work (relation cited_by) or papers that work cites (relation references). Every row is an API hit. An empty list means the API returned none, not that none exist.
format_citationFormat a real paper in APA, MLA, Chicago author-date, or BibTeX using metadata fetched for the identifier. Titles are kept as the source provided them. Author particles may need a human check because
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Matched on shared tags and the tools their MCP servers actually expose.
Shares tags: MCP server
Shares tags: MCP server
Shares tags: MCP server
Shares tags: MCP server
Shares tags: MCP server
Shares tags: MCP server
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