BibTeX MCP Server
Related Servers
Alternatives to BibTeX MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables academic bibliographic search across arXiv, Semantic Scholar, and Google Scholar with advanced search, citation analysis, and Zotero integration for reference management.2-
- AlicenseNot gradedqualityBmaintenancePapers by Ouroboros Apps (https://ouroborosapps.com). Research paper search with real citations from OpenAlex, Semantic Scholar, PubMed, Crossref, and arXiv: find papers, fetch abstracts, follow citations, and format references. Connect by pasting https://papers-mcp.vercel.app/mcp into Claude, Cursor, Grok, or ChatGPT developer mode (OAuth). Docs: https://ouroborosapps.com/docs/papers2 npmMIT
- AlicenseBqualityFmaintenanceSearch and retrieve academic papers from arXiv and DBLP databases, with AI-powered prompts to generate comprehensive research summaries, discover related topics, and identify leading authors in any field.235 PyPI2MIT
- AlicenseAqualityCmaintenanceEnables retrieval of academic paper metadata, PDFs, full text, citations, and references by title via Semantic Scholar, arXiv, and other sources.61MIT
- AlicenseNot gradedqualityDmaintenanceEnables searching, downloading, and exporting academic papers from 20+ scholarly sources including arXiv, PubMed, and Semantic Scholar. Supports multi-source concurrent search, citation network tracing, and export to CSV, RIS, and BibTeX.1MIT
- AlicenseAqualityBmaintenanceProvides local academic literature search and writing support by querying OpenAlex, arXiv, and Crossref, downloading open-access PDFs, extracting IMRaD sections, and appending BibTeX references.42MIT
TDQS
Scored across 4 tools
The search and search_reference tools both perform literature searches but with different output granularity. While search_reference returns full BibTeX and search returns lightweight snippets, the boundary is fuzzy and an agent might misselect them. fetch and fetch_multiple are clearly distinct in cardinality.
Tool names follow mixed patterns: search_reference uses verb_noun, while fetch, search, and fetch_multiple are bare verbs or verb_adjective. There is no consistent convention, and the verbs 'search' and 'fetch' could be seen as overlapping actions.
Four tools is well-scoped for a bibliographic reference server. Each tool serves a clear purpose in the search-fetch workflow, and the count is within the ideal range, neither too thin nor bloated.
The tool set covers the core search and retrieval lifecycle: lightweight browsing (search), bulk full retrieval (fetch_multiple), and direct full citation lookup (search_reference). Missing features like DOI lookup or format export are minor and not critical for the stated purpose.