MCP serverio.github.mlava/scholar-sidekick-mcp

Catch AI-fabricated citations (real DOI + fake title).

Catch AI-fabricated citations (real DOI + fake title). Retraction, open-access, 10,000+ CSL styles.

UNRATEDActivestreamable-httpscholar-sidekick.com

Overview

Score?

UNRATED 0.672

of what a free look can see, on 30 looks

Looks

last 16 hr ago

Tools

changed 29 days ago

URL

scholar-sidekick.com/api/mcp

streamable-http

Says it is

scholar-sidekick 0.8.11

protocol 2025-06-18

In the record since

32 days ago

0median 0.606 · this server 0.672 · highest on record 0.8561

The tools this server lists, read out of the definition it returned
Tool	Schema
auditBibliography Verify a WHOLE bibliography in one call — the batch counterpart to verifyCitation. Each entry runs the same fabrication check (real, resolvable identifier paired with a title that	input · output
checkOpenAccess Check whether a single scholarly work is openly accessible and where to find the best legal version. Use when the user asks 'is this open access?', 'where can I read this for free?	input · output
checkRetraction Check whether a single scholarly work has been retracted, corrected, or had an expression of concern raised. Use when the user asks 'has this paper been retracted?' or wants to ver	input · output
exportCitation Export scholarly identifiers to a bibliography file format ready to write to disk or paste into a reference manager. Use when the user wants a file (.bib, .ris, .nbib, .xml, .rdf,	input · output
formatCitation Format scholarly identifiers into a finished citation in a specific style. Use when the user wants a paste-ready citation string for a manuscript, slide, message, footnote, or in-l	input · output
resolveIdentifier Resolve scholarly identifiers to structured CSL JSON metadata (title, authors, journal, year, identifiers). Use when the user wants raw bibliographic data to inspect, transform, or	input · output
verifyCitation Verify a claimed citation against the resolved record at its identifier. Detects the dominant AI-driven fabrication pattern documented by Topaz et al. (Lancet 2026): a real, resolv	input · output

Verify it yourselfnpx teppi-check https://scholar-sidekick.com/api/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2JE02JTFHJCRMQ4FG151