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Search, retrieve, and analyze academic papers across platforms for literature reviews.
This MCP tool is described as an academic paper search and retrieval server with no stated secrets or declared remote endpoints, and its source is open and auditable, so overall risk appears low. However, it is flagged as capable of code execution and likely interacts with external scholarly platforms by design; with no README, low adoption, and unknown maintenance, it should be used with caution.
The materials explicitly state there are no required keys or environment variables, and no API tokens, account passwords, or other sensitive credentials are requested; based on the provided facts, credential exposure or abuse risk appears limited.
The description says it integrates multiple scholarly platforms and supports search/fetch workflows, which normally implies outbound requests to external academic services; however, no specific endpoints are listed and the README is missing, so the actual scope and destinations of data egress cannot be verified.
The system checks indicate it has executes-code capability, meaning it may execute code locally or start related processes at runtime; this is a common MCP-tool capability and not high risk by itself, but sparse documentation leaves the exact system capabilities unclear.
The materials do not specify what local files, cache directories, or result storage locations it can read or write; for a paper search/analysis tool it may handle user queries, paper metadata, or downloaded content, but there is no evidence of data access clearly exceeding its stated purpose.
Positive factors include being open source under the MIT license, making the code auditable in principle; however, it comes from a third-party registry, has only 0 GitHub stars, unknown maintenance status, and no README, so supply-chain maturity and ongoing maintenance signals are weak and warrant manual review of the repository and dependencies.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "aigroup-paper-mcp" yet — see the docs or source repo.
Please search for papers on "applications of multimodal large models in medical imaging analysis," prioritizing highly cited or top-tier papers from the last three years, and provide title, authors, year, abstract, and source links.
A list of highly relevant papers with key metadata and access links.
For the topic "RAG evaluation," analyze paper volume changes over the past five years, summarize major research directions, representative papers, and popular keywords, and provide a trend summary.
A trend analysis organized by time and subtopics to quickly understand the field.
Based on literature about "AI agent task planning," generate a literature review outline organized by research questions, method categories, strengths and weaknesses, datasets, and evaluation methods, and list papers worth prioritizing.
A structured review outline and prioritized reading list for writing preparation.
Search and download academic papers from arXiv, PubMed, bioRxiv, and more.
Search, filter, and analyze academic literature across multiple research databases.
Search academic papers, analyze citations, and get author and topic recommendations.
Search academic papers across databases with PDF storage and full-text retrieval.
Search and retrieve arXiv papers by topic, author, category, or ID.
Search, read, and summarize arXiv papers for faster research and study.