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bioRxiv MCP Server

by JackKuo666

The bioRxiv MCP Server provides a bridge between AI assistants and bioRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for biology preprints and access their metadata in a programmatic way.

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What is bioRxiv MCP Server?

The bioRxiv MCP Server is a tool that enables AI assistants to search and access bioRxiv papers through a simple MCP interface, facilitating programmatic access to biology preprints and their metadata.

How to use bioRxiv MCP Server?

To use the server, first install it using the provided instructions, either by cloning the repository and installing dependencies or using Smithery. Then, start the server using python biorxiv_server.py. You can then use the provided MCP tools to search for papers and retrieve metadata through an AI assistant.

Key features of bioRxiv MCP Server

  • Paper Search

  • Efficient Retrieval

  • Metadata Access

  • Research Support

Use cases of bioRxiv MCP Server

  • Searching for relevant biology preprints

  • Retrieving metadata for specific papers

  • Integrating bioRxiv data into AI-powered research tools

  • Facilitating literature reviews and analysis

FAQ from bioRxiv MCP Server

What is bioRxiv?

bioRxiv is a preprint server for biology.

What is MCP?

MCP stands for Model Context Protocol, a standard for AI assistants to access external data.

What are the prerequisites for running this server?

You need Python 3.10+ and the FastMCP library.

How do I search for papers?

Use the search_biorxiv_key_words or search_biorxiv_advanced MCP tools.

How do I get metadata for a specific paper?

Use the get_biorxiv_metadata MCP tool with the paper's DOI.