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bioRxiv-MCP-Server

MCP.Pizza Chef: JackKuo666

The bioRxiv MCP Server enables AI assistants to programmatically search, retrieve, and access metadata and full content of biology preprints from the bioRxiv repository. It provides fast, efficient querying and local storage of papers, facilitating biological research workflows by integrating scientific literature directly into AI-enhanced environments via the Model Context Protocol.

Use This MCP server To

Search bioRxiv preprints by keywords or advanced queries Retrieve detailed metadata for specific biology papers Download and locally store bioRxiv papers for offline access List all downloaded bioRxiv papers for review Integrate biology research papers into AI assistant workflows Enable AI models to analyze and summarize biology preprints Support biological sciences research with real-time paper access

README

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
    
  2. 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.

bioRxiv-MCP-Server FAQ

How do I install the bioRxiv MCP Server?
Install Python 3.10+, then follow the FastMCP library setup instructions included in the repository README.
Can the server handle advanced search queries?
Yes, it supports keyword and advanced search queries to find relevant bioRxiv papers efficiently.
How does local storage of papers work?
Downloaded papers are saved locally to speed up future access and reduce repeated network calls.
Is the server compatible with multiple AI model providers?
Yes, it works with any MCP-compatible AI models including OpenAI, Anthropic Claude, and Google Gemini.
Can I access full paper content through this server?
Yes, the server allows downloading and reading the full content of bioRxiv preprints.
Does the server provide metadata for papers?
Yes, detailed metadata such as authors, abstracts, and publication dates are accessible.
Are there built-in prompts for research analysis?
Yes, the server includes specialized research prompts to assist in paper analysis workflows.
What programming languages are supported?
The server is implemented in Python 3.10+ and integrates via the MCP protocol.