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Biorxiv: Accelerate Science, Access Cutting-Edge Breakthroughs - MCP Implementation

Biorxiv: Accelerate Science, Access Cutting-Edge Breakthroughs

Biorxiv: The go-to preprint hub for life sciences breakthroughs – fast-track your research, access cutting-edge discoveries, and stay ahead in the lab. Trusted by scientists globally." )

Research And Data
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Users create an average of 39 projects per month with this tool

About Biorxiv

What is Biorxiv: Accelerate Science, Access Cutting-Edge Breakthroughs?

BioRxiv MCP Server is an innovative tool designed to bridge AI-powered research assistants with the bioRxiv preprint repository. By leveraging the FastMCP protocol, it enables seamless programmatic access to scientific papers, empowering researchers to rapidly discover and analyze cutting-edge research findings. This solution streamlines workflows by integrating web scraping capabilities with asynchronous task handling, ensuring researchers can focus on innovation rather than manual data retrieval.

How to Use Biorxiv: Accelerate Science, Access Cutting-Edge Breakthroughs?

Implementing the platform involves three core steps:

  1. Install dependencies including Python 3.10+, FastMCP, and asyncio
  2. Configure client settings via provided templates for desired platforms
  3. Execute the server script and interact through standardized API endpoints
Advanced users can utilize Smithery integration tools to automate deployment across multiple platforms while maintaining compliance with API usage policies.

Biorxiv Features

Key Features of Biorxiv: Accelerate Science, Access Cutting-Edge Breakthroughs?

  • Intelligent Search Engine: Context-aware paper discovery with semantic keyword matching
  • Metadata Ecosystem: Instant access to structured publication data including authors, citations, and version histories
  • Local Caching: Automated storage of frequently accessed papers for offline analysis
  • Research Workflow Integration: Pre-built modules for citation tracking and paper comparison
  • Compliance Framework: Built-in mechanisms to respect repository terms-of-service

Use Cases of Biorxiv: Accelerate Science, Access Cutting-Edge Breakthroughs?

Researchers leverage this platform to:

  • Rapidly identify emerging trends in specific disciplines
  • Automate literature reviews for grant proposals
  • Validate hypotheses through real-time publication analysis
  • Create dynamic bibliographies updated in real-time
  • Support collaborative projects with shared paper repositories

Biorxiv FAQ

FAQ from Biorxiv: Accelerate Science, Access Cutting-Edge Breakthroughs?

Q: Is prior coding experience required?
While basic Python knowledge is helpful, the modular design allows non-developers to configure workflows using provided templates.

Q: How does it handle rate limiting?
The system implements adaptive throttling mechanisms to ensure compliance with repository API policies.

Q: Can I use this for commercial research?
The MIT license permits commercial use, but users must adhere to bioRxiv's terms-of-service regarding publication attribution.

Q: What support channels exist?
Documentation is available on GitHub repository, with community forums for troubleshooting.

Content

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

  1. Clone the repository:

    git clone https://github.com/JackKuo666/bioRxiv-MCP-Server.git

cd bioRxiv-MCP-Server
  1. 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:

  1. search_biorxiv_key_words: Search for articles on bioRxiv using keywords.
  2. search_biorxiv_advanced: Perform an advanced search for articles on bioRxiv with multiple parameters.
  3. 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 FastMCP
  • biorxiv_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.

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