bib-enrich-mcp
Related Servers
Alternatives to bib-enrich-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server that enables AI assistants to verify BibTeX citations and URLs against academic databases like Semantic Scholar and DBLP. It allows users to ensure bibliography accuracy and link accessibility directly within their research workflows.1MIT
- AlicenseAqualityBmaintenanceEnables AI agents and LLM tools to verify academic citations against real literature, detect hallucinated references, retrieve authoritative metadata and DOIs, generate BibTeX/APA/IEEE citations, and search over 200M+ scientific publications via MCP tools.312 npmMIT
- AlicenseNot gradedqualityAmaintenanceA multi-platform BibTeX reference verification and update tool with DOI-first lookup, dynamic source ranking, MCP tools, and skill export for AI assistants.79 PyPI99MIT
- AlicenseAqualityDmaintenanceMCP server for verifying academic citations via Semantic Scholar, OpenAlex, and CrossRef.1MIT
- AlicenseAqualityBmaintenanceCLI and MCP server for fetching multiple BibTeX options from Google Scholar's visible citation export flow.14 npm1MIT
- AlicenseAqualityDmaintenanceSearches academic references from arXiv, DBLP, Semantic Scholar, and OpenAlex concurrently and generates BibTeX citations.411MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one enriches a single bibliography entry by accepting specific identifiers, while the other enriches all entries in a BibTeX file. No overlap in functionality.
Both tools follow a consistent naming pattern with the prefix 'mcp_enrich_bib_' followed by a specific suffix ('entry' and 'file'). The naming is uniform and predictable.
The server has only 2 tools, which is on the low end. For a focused enrichment task, this may be acceptable, but it feels slightly under-scoped compared to typical MCP servers that often offer 3-15 tools.
The server covers the core enrichment functionality but lacks additional tools for operations like searching for entries, validating BibTeX, or undoing enrichments. The surface is minimal and may leave agents with dead ends.