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Analyze local paper PDFs rigorously and generate editable maps and research insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Academic Paper Explorer MCP Server" yet — see the docs or source repo.
Analyze the machine learning paper PDFs in my local folder and generate an editable domain map based strictly on source citations. Organize it by topics, methods, datasets, and representative papers, and attach citations to every conclusion.
An editable domain map with strict citations, clearly showing topic structure and representative studies.
Read this set of local PDF papers on large language model evaluation and summarize current research gaps, unresolved problems, and potential opportunities using only evidence from the papers, with citations for every point.
A theme-based list of research gaps, each supported by clear paper evidence and citation locations.
Using the computer vision paper PDFs I provide, generate a mind map of the research landscape and summarize future directions and feasible topics, ensuring every judgment is traceable to source citations.
An editable mind map plus future research directions and topic suggestions backed by citations.
Search papers, parse full-text PDFs, extract details, and manage citations.
Convert research PDFs to Markdown and search them with grep plus semantics.
Search and retrieve arXiv papers by topic, author, category, or ID.
Search academic papers, analyze citations, and get author and topic recommendations.
Search and cross-reference prior art across papers, patents, books, and standards.
Search, read, and summarize arXiv papers for faster research and study.