Paper Search

Acerca de

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.

Características Principales

• Supports multiple sources: arXiv, PubMed, bioRxiv, and Sci-Hub (optional).
• Offers an extensible design for adding new academic platforms.
• Returns papers in a standardized dictionary format.
• 6 GitHub stars
• Uses asynchronous tools for efficient network requests.
• Integrates with MCP clients for LLM context enhancement.

Casos de Uso

• Automated literature reviews.
• Rapidly accessing scientific publications from multiple sources.
• Enhancing LLM workflows with academic research.