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 Model Context Protocol (MCP) interface, facilitating programmatic access to biology preprints and their metadata.
How to use bioRxiv MCP Server?
To use the bioRxiv MCP Server, clone the repository from GitHub, install the required dependencies, and start the server using Python. You can then query the server for papers or metadata using AI assistants.
Key features of bioRxiv MCP Server?
- Paper search with keywords or advanced queries.
- Fast retrieval of paper metadata.
- Access to detailed metadata for specific papers.
- Local storage for faster access to downloaded papers.
- Specialized prompts for paper analysis.
Use cases of bioRxiv MCP Server?
- Searching for recent biology preprints on specific topics.
- Retrieving metadata for academic papers using their DOI.
- Supporting research in biological sciences by providing easy access to preprint literature.
FAQ from bioRxiv MCP Server?
- Can I use this server for all bioRxiv papers?
Yes! The server allows you to search and access all available bioRxiv papers.
- Is there any cost to use the bioRxiv MCP Server?
No, the server is free to use for research purposes.
- What are the prerequisites for using the server?
You need Python 3.10+ and the FastMCP library installed.
bioRxiv MCP Server
🔍 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 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.
🤝 Contribute • 📝 Report Bug
✨ Core Features
- 🔎 Paper Search: Query bioRxiv papers with keywords or advanced search ✅
- 🚀 Efficient Retrieval: Fast access to paper metadata ✅
- 📊 Metadata Access: Retrieve detailed metadata for specific papers ✅
- 📊 Research Support: Facilitate biological sciences research and analysis ✅
- 📄 Paper Access: Download and read paper content 📝
- 📋 Paper Listing: View all downloaded papers 📝
- 🗃️ Local Storage: Papers are saved locally for faster access 📝
- 📝 Research Prompts: A set of specialized prompts for paper analysis 📝
🚀 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 → Cursor Settings → MCP → 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": []
}
}
}
📊 Usage
Start the MCP server:
python biorxiv_server.py
🛠 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?
📁 Project Structure
biorxiv_server.py
: The main MCP server implementation using FastMCPbiorxiv_web_search.py
: Contains the web scraping logic for searching bioRxiv
🔧 Dependencies
- Python 3.10+
- FastMCP
- asyncio
- logging
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
This project is licensed under the MIT License.
⚠️ Disclaimer
This tool is for research purposes only. Please respect bioRxiv's terms of service and use this tool responsibly.