# Paper search

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, enabling the search and access of health science preprints through the Model Context Protocol (MCP).

ArXiv MCP Server is a bridge connecting AI assistants with the arXiv research library. It provides functions for paper search, download, and reading through the Message Control Protocol (MCP), and supports local storage and fast access.

The bioRxiv MCP Server provides a bridge for AI assistants to access the bioRxiv pre - print library, supporting functions such as paper search and metadata retrieval, and facilitating biological scientific research.

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, providing functions such as paper search and metadata acquisition through the MCP protocol, and supporting health science research.

AER-MCP is an MCP server based on LLM, used to search for papers from the AEA (American Economic Association), inspired by the arxiv-mcp-server. The project is still under development, providing a quick start guide and configuration examples.

The arXiv Research Assistant MCP Server is a local server built based on Python and the FastMCP framework, specifically designed to interact with the arXiv.org paper database. It provides functions such as keyword search, getting the latest papers in categories, querying paper details, author search, trend analysis, etc., and supports generating paper summaries and comparison prompts, facilitating users to efficiently explore academic literature.

The ArXiv MCP Server is a middleware that provides arXiv paper search and access services for AI assistants, implementing paper retrieval, download, and reading functions through the MCP protocol.

The medRxiv MCP Server is a bridge tool connecting AI assistants and the medRxiv preprint library, enabling functions such as searching for preprints, retrieving metadata, and accessing content in the field of health science through the Model Context Protocol (MCP). It supports local storage and paper analysis prompts.