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Search and cross-reference prior art across papers, patents, books, and standards.
This MCP tool is open-source under MIT and does not declare any required secrets, with no clear high-risk red flags evident. However, the documentation is very sparse: it claims to query scholarly data via multiple APIs without listing concrete endpoints or data flows, so it should be enabled with caution.
The material explicitly states that no keys or environment variables are required. There is no indication that API tokens, account credentials, or other sensitive secrets are needed; based on the available information, credential exposure appears low.
The description says the tool searches and retrieves papers, patents, books, and standards “via multiple APIs,” which implies outbound network access. However, it does not disclose the actual remote endpoints, what data is sent, or which third parties receive it, so users should assume query content may be transmitted to external scholarly/search APIs.
The system flags this tool as having code-execution capability, meaning it runs code/processes locally as an MCP service. This is a normal property for such tools, but it should still be run in a constrained environment and its actual system-call surface should be verified.
The material does not state which local files, cache directories, or persistent data it reads or writes, nor does it define a least-privilege boundary. While there is no explicit evidence of overbroad access, the lack of documentation makes the data-access scope unclear, so filesystem and local-data visibility should be restricted by default.
Positive signals include an auditable open-source GitHub repository and an MIT license. However, it comes from a third-party registry, has 0 stars, unknown maintenance status, and no README, so supply-chain confidence is only moderate and source/dependency review is advisable before adoption.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "scholar-mcp" yet — see the docs or source repo.
Search for papers, patents, and technical standards related to 'applications of retrieval-augmented generation in enterprise knowledge base QA'. List the top 10 by relevance with summaries and citation details.
A ranked list of relevant sources with titles, venues, summaries, years, and citation details.
For the topic 'multimodal document understanding', cross-reference papers and patents from the last five years. Identify core methods, major differences, and possible technical overlap.
A prior-art comparison summary covering method trends, differences, and potential overlaps.
Given a paper on federated learning, trace its key references and citations. Select the five most influential related works and explain how they are connected.
A citation map summary highlighting key works and their influence paths.
Search papers, parse full-text PDFs, extract details, and manage citations.
Search academic papers, analyze citations, and get author and topic recommendations.
Search scholarly papers, authors, citations, and export BibTeX for research workflows.
Search academic literature across major databases and manage references efficiently.
Search papers, citations, and authors to support academic research and discovery.
Search, download, and read academic papers across major scholarly sources.