# Paper retrieval

Google Scholar MCP Server is an interface service that provides AI assistants with access to academic papers on Google Scholar through the Model Context Protocol (MCP). It supports keyword search, advanced retrieval, and author information query functions to help AI models retrieve academic paper metadata.

The medRxiv MCP Server is a bridge tool connecting AI assistants and the medRxiv preprint library, enabling functions such as searching, downloading, and accessing the content of medical preprints through the Model Context Protocol, and supporting local storage and academic analysis.

This project provides a service based on the Model Context Protocol (MCP) that allows AI assistants to search for and read papers through the PapersWithCode API, and view related code repositories for more context information.

Provide a programming interface for the IACR Cryptology ePrint Archive, supporting efficient retrieval of cryptographic research papers