Searches and downloads academic papers from multiple sources like arXiv, PubMed, and bioRxiv.
Sponsored
Paper Search is a Python-based Model Context Protocol (MCP) server designed to streamline the process of searching and downloading academic papers from various platforms. It supports sources like arXiv, PubMed, bioRxiv, and optionally Sci-Hub, returning papers in a consistent dictionary format. Built with the MCP Python SDK, it integrates seamlessly with LLM clients like Claude Desktop, enhancing their contextual awareness with relevant research papers. Its extensible design allows for easy addition of new academic platforms.
Key Features
01Supports multiple sources: arXiv, PubMed, bioRxiv, and Sci-Hub (optional).
02Offers an extensible design for adding new academic platforms.
03Returns papers in a standardized dictionary format.
046 GitHub stars
05Uses asynchronous tools for efficient network requests.
06Integrates with MCP clients for LLM context enhancement.
Use Cases
01Automated literature reviews.
02Rapidly accessing scientific publications from multiple sources.
