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Mcp Server Biorxiv
What is Mcp Server Biorxiv
mcp-server-BioRxiv is a server designed to enable AI assistants to search and access bioRxiv papers through a simple Model Context Protocol (MCP) interface, facilitating interaction with bioRxivโs preprint repository.
Use cases
Use cases include conducting literature reviews, supporting research projects, accessing the latest biological research, and facilitating data analysis through AI-assisted tools.
How to use
To use mcp-server-BioRxiv, clone the repository from GitHub, install the required dependencies using pip, and follow the installation instructions for your specific AI client (Claude, Cursor, Windsurf, or CLine).
Key features
Key features include paper search with keywords, efficient retrieval of paper metadata, access to detailed metadata for specific papers, local storage for faster access, and specialized research prompts for paper analysis.
Where to use
mcp-server-BioRxiv is primarily used in the field of biological sciences, particularly for researchers and analysts who need to access and analyze preprints in biology.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Server Biorxiv
mcp-server-BioRxiv is a server designed to enable AI assistants to search and access bioRxiv papers through a simple Model Context Protocol (MCP) interface, facilitating interaction with bioRxivโs preprint repository.
Use cases
Use cases include conducting literature reviews, supporting research projects, accessing the latest biological research, and facilitating data analysis through AI-assisted tools.
How to use
To use mcp-server-BioRxiv, clone the repository from GitHub, install the required dependencies using pip, and follow the installation instructions for your specific AI client (Claude, Cursor, Windsurf, or CLine).
Key features
Key features include paper search with keywords, efficient retrieval of paper metadata, access to detailed metadata for specific papers, local storage for faster access, and specialized research prompts for paper analysis.
Where to use
mcp-server-BioRxiv is primarily used in the field of biological sciences, particularly for researchers and analysts who need to access and analyze preprints in biology.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
bioRxiv MCP Server
๐ Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.
The bioRxiv MCP Server provides a bridge between AI assistants and bioRxivโs 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.
๐ค Contribute โข ๐ Report Bug
โจ Core Features
- ๐ Paper Search: Query bioRxiv papers with keywords or advanced search โ
- ๐ Efficient Retrieval: Fast access to paper metadata โ
- ๐ Metadata Access: Retrieve detailed metadata for specific papers โ
- ๐ Research Support: Facilitate biological sciences research and analysis โ
- ๐ Paper Access: Download and read paper content ๐
- ๐ Paper Listing: View all downloaded papers ๐
- ๐๏ธ Local Storage: Papers are saved locally for faster access ๐
- ๐ Research Prompts: A set of specialized prompts for paper analysis ๐
๐ Quick Start
Prerequisites
- Python 3.10+
- FastMCP library
Installation
-
Clone the repository:
git clone https://github.com/JackKuo666/bioRxiv-MCP-Server.git cd bioRxiv-MCP-Server -
Install the required dependencies:
pip install -r requirements.txt
Installing via Smithery
To install bioRxiv Server for Claude Desktop automatically via Smithery:
claude
npx -y @smithery/cli@latest install @JackKuo666/biorxiv-mcp-server --client claude --config "{}"
Cursor
Paste the following into Settings โ Cursor Settings โ MCP โ Add new server:
- Mac/Linux
npx -y @smithery/cli@latest run @JackKuo666/biorxiv-mcp-server --client cursor --config "{}"
Windsurf
npx -y @smithery/cli@latest install @JackKuo666/biorxiv-mcp-server --client windsurf --config "{}"
CLine
npx -y @smithery/cli@latest install @JackKuo666/biorxiv-mcp-server --client cline --config "{}"
Usage with Claude Desktop
Add this configuration to your claude_desktop_config.json:
(Mac OS)
{
"mcpServers": {
"biorxiv": {
"command": "python",
"args": [
"-m",
"biorxiv-mcp-server"
]
}
}
}
(Windows version):
{
"mcpServers": {
"biorxiv": {
"command": "C:\\Users\\YOUR_USERNAME\\AppData\\Local\\Programs\\Python\\Python311\\python.exe",
"args": [
"-m",
"biorxiv-mcp-server"
]
}
}
}
Using with Cline
{
"mcpServers": {
"biorxiv": {
"command": "bash",
"args": [
"-c",
"source /home/YOUR/PATH/mcp-server-bioRxiv/.venv/bin/activate && python /home/YOUR/PATH/mcp-server-bioRxiv/biorxiv_server.py"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
๐ Usage
Start the MCP server:
python biorxiv_server.py
๐ MCP Tools
The bioRxiv MCP Server provides the following tools:
search_biorxiv_key_words: Search for articles on bioRxiv using keywords.search_biorxiv_advanced: Perform an advanced search for articles on bioRxiv with multiple parameters.get_biorxiv_metadata: Fetch metadata for a bioRxiv article using its DOI.
Searching Papers
You can ask the AI assistant to search for papers using queries like:
Can you search bioRxiv for recent papers about genomics?
Getting Paper Details
Once you have a DOI, you can ask for more details:
Can you show me the metadata for the paper with DOI 10.1101/123456?
๐ Project Structure
biorxiv_server.py: The main MCP server implementation using FastMCPbiorxiv_web_search.py: Contains the web scraping logic for searching bioRxiv
๐ง Dependencies
- Python 3.10+
- FastMCP
- asyncio
- logging
๐ค Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
๐ License
This project is licensed under the MIT License.
โ ๏ธ Disclaimer
This tool is for research purposes only. Please respect bioRxivโs terms of service and use this tool responsibly.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










