Biorxiv
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.
rating : 2.5 points
downloads : 35
What is the bioRxiv MCP Server?
This is a service tool that connects AI assistants with the bioRxiv biological pre - print library. It allows AI to programmatically search for and obtain paper information through standard protocols. Researchers can quickly find and read the latest biological research results through AI assistants.How to use the bioRxiv MCP Server?
After installing the Python environment, start the service with simple commands, and then directly query papers or obtain detailed information in supported AI clients (such as Claude/Cursor).Applicable scenarios
Suitable for biological researchers to track the latest progress, write literature reviews, refer to experimental designs, and for AI - assisted scientific research data analysis scenarios.Main functions
Intelligent paper searchSupports keyword search and advanced search parameters to quickly locate relevant literature.
Complete metadata retrievalCan obtain complete metadata information such as paper titles, authors, abstracts, and DOIs.
Local paper storageAutomatically saves retrieved papers locally to improve subsequent access speed.
Multi - platform supportCompatible with various AI clients such as Claude/Cursor/Windsurf.
Advantages and limitations
Advantages
Obtain the latest biological research results in real - time
Automatically cache search results locally to improve efficiency
Obtain paper information without manually operating the browser
Support seamless integration with mainstream AI assistants
Limitations
Only supports the bioRxiv platform and does not include other databases
Requires a Python - based operating environment
Advanced search functions require knowledge of specific parameter formats
How to use
Installation preparation
Ensure that Python version 3.10+ is installed.
Get the software
Clone the GitHub repository or install it automatically through Smithery.
Install dependencies
Install the necessary Python libraries.
Start the service
Run the main program to start the MCP service.
Usage examples
Literature review supportQuickly collect the latest pre - prints on a certain research topic.
In - depth paper analysisObtain detailed information of a specific paper for analysis.
Frequently Asked Questions
Is it necessary to pay for use?
Which AI clients are supported?
What if the search results are not fully displayed?
Related resources
GitHub repository
Project source code and the latest version
bioRxiv official website
Pre - print source platform
FastMCP documentation
Underlying protocol technical documentation
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