$ loading_
Search academic citations, fetch paper metadata, and generate BibTeX entries.
This MCP tool claims to retrieve academic citations, metadata, and generate BibTeX from Google Scholar, with no required secrets and no remote endpoint explicitly listed in the materials. Because it executes code and likely performs network access as part of its function, the overall rating is caution; its open-source MIT-licensed status is a positive factor, though adoption is low and maintenance is unknown.
The materials explicitly state that no keys or environment variables are required, and no API tokens, account credentials, or OAuth setup are described, so direct credential exposure appears limited. However, if runtime behavior relies on existing host session state or network identity, the materials do not clarify that.
The description says it fetches citations and metadata 'directly from Google Scholar,' indicating expected outbound network access even though no remote host is listed in the objective fields. Such network activity is normal for this tool category, and there is no explicit red flag showing data being sent to unrelated or unknown endpoints.
The objective checks indicate that this tool executes code. Running a local MCP service/process is standard for this category; the available materials do not show requests for unusual system privileges, nor clear evidence of arbitrary external command execution or privilege escalation.
Based on the stated functionality, it will at least process user-supplied search topics, citation information, and generated BibTeX output. The materials do not specify which local files, databases, or browser data it can access, nor how data is retained, so the data access scope is underspecified; no clear over-permissioning is described so far.
The project is open source and MIT licensed, making the code theoretically auditable, which is a meaningful risk-reducing factor. However, it comes from a third-party registry, shows 0 stars, has unknown maintenance status, and lacks a README, limiting verifiability and maturity and warranting caution around dependencies and upkeep.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CiteNexus MCP" yet — see the docs or source repo.
Using CiteNexus MCP, search Google Scholar for the paper 'Attention Is All You Need' and return the standard citation, authors, year, and journal or conference details.
Returns the full citation and key metadata for use in a literature review.
Use CiteNexus MCP to find the paper titled 'BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding' and generate a BibTeX entry ready for LaTeX.
Produces a properly formatted BibTeX entry ready to add to a reference library.
I have a list of paper titles. Use CiteNexus MCP to search each one and fill in the authors, year, venue, and corresponding BibTeX: 1. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models 2. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Returns a structured list of reference metadata with a BibTeX entry for each paper.
Search Google Scholar papers via MCP with filters and citation retrieval.
Search papers, parse full-text PDFs, extract details, and manage citations.
Search real Scopus papers and citation data to reduce reference hallucinations.
Search and cross-reference prior art across papers, patents, books, and standards.
Search papers, author profiles, and export citations for research and writing.
Search multiple academic databases concurrently and generate BibTeX citations.