MCP server that catches AI-fabricated citations: verifies a claimed title against the real record at its DOI or PMID (the Topaz et al. Lancet 2026
MCP server that catches AI-fabricated citations: verifies a claimed title against the real record at its DOI or PMID (the Topaz et al. Lancet 2026 pattern), audits
All seven tools are read-only (readOnlyHint: true, destructiveHint: false). The exact tools/list payload — descriptions, JSON Schemas, and annotations — is committed as tools.json and ships in the npm tarball, so you can review the full tool surface without running anything.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| verifyCitation | Verify a claimed citation against the resolved record at its identifier. Detects the Topaz et al. (Lancet 2026) fabrication pattern — real DOI + invented title |
| auditBibliography | Run the verifyCitation check plus a retraction lookup across a whole bibliography in one call. Accepts raw BibTeX, RIS, or CSL-JSON text, or a pre-parsed claims |
| resolveIdentifier | Resolve DOIs, PMIDs, PMCIDs, ISBNs, arXiv IDs, ISSNs, ADS bibcodes, and WHO IRIS URLs to structured bibliographic metadata (CSL JSON). Accepts a single identifi |
| formatCitation | Format one or many identifiers into Vancouver, AMA, APA, IEEE, CSE, or any of 10,000+ CSL styles. Output as text, HTML, or JSON. Returns formatted citations plu |
| exportCitation | Export one or many identifiers to BibTeX, RIS, CSL JSON, EndNote (XML/Refer), RefWorks, MEDLINE, Zotero RDF, CSV, or plain text — ready to write to disk or hand |
| checkRetraction | Check whether a single work has been retracted, corrected, or had an expression of concern raised. Sourced from Crossref updated-by (Retraction Watch). Resolves |
| checkOpenAccess | Check whether a single work is openly accessible and where to find the best legal version. Sourced from Unpaywall. Returns OA status (gold/green/hybrid/bronze/c |
{
"mcpServers": {
"scholar-sidekick": {
"command": "npx",
"args": [
"-y",
"scholar-sidekick-mcp@latest"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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이 프로젝트는 [채널톡](https://api-doc.channel.io/) 의 OPEN API를 활용하여 Model Context Protocol(MCP)과 연동하는 도구입니다. 이를 통해 AI 어시스턴트가 채널톡의 채팅 정보에 접근하고 활용할 수 있습니다.