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by JackKuo666 • Search & Retrieval
Provides an MCP server that lets AI assistants search and retrieve bioRxiv preprints and metadata programmatically.
Search bioRxiv for relevant preprints using keywords or advanced query parameters.
Fetch detailed metadata for a specific preprint given its DOI.
Download and locally cache bioRxiv papers for faster access and downstream analysis.
This project implements a Model Context Protocol (MCP) server that enables AI agents to search bioRxiv, fetch paper metadata by DOI, and download preprints for local storage. It is built in Python using FastMCP and offers keyword and advanced search capabilities plus integrations/examples for clients like Claude Desktop. The server speeds access to preprint metadata and facilitates research workflows by exposing simple MCP tools for searching and retrieval.
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