Scholar
Searches and retrieves academic papers from major databases like arXiv and DBLP, providing detailed information and PDF download links.
About
Scholar is a Model Context Protocol (MCP) tool designed to streamline academic research by providing comprehensive search and retrieval capabilities for scholarly papers. It supports leading academic databases such as arXiv and DBLP, enabling users to find papers, access detailed information including abstracts and PDF links, and download content efficiently. With its standardized MCP interface, Scholar is engineered for easy integration with AI assistants like Claude, offering intelligent search, detailed paper information retrieval, and convenient PDF download functionality directly through conversational prompts.
Key Features
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- Detailed Information Retrieval: Gathers full paper details including title, authors, abstract, and publication date.
- Intelligent Search: Supports keyword search with filters for author, date, and category.
- PDF Download: Provides direct links for downloading paper PDFs.
- Easy Integration: Features a standard MCP interface for seamless connection with AI assistants like Claude.
- Multi-source Support: Integrates both arXiv and DBLP academic databases.
Use Cases
- Download multiple papers by a specific author, keywords, or from a list of paper IDs to a local folder.
- Retrieve detailed information for individual papers by ID or topic.
- Search for academic papers on specific research topics using keywords and filters.
