Medrxiv Research

🚀 medRxiv Medical Research Paper Server

This project offers a medical research paper server that supports interaction with the medRxiv platform via the MCP protocol. It allows users to search for, obtain detailed information about, and download academic papers on medRxiv.

🚀 Quick Start

✨ Features

• Search Papers: Search for relevant papers on medRxiv using specific query instructions.
• Get Paper Details: Retrieve detailed information about a paper by entering its DOI.
• Research Analysis Prompts: Use specially designed prompts to assist in the analysis of academic papers.

📦 Installation

System Requirements

• Python version 3.10 or higher

Dependency Installation

pip install FastMCP requests beautifulsoup4

💻 Usage Examples

Search Papers

Search for relevant papers on medRxiv using the following query instruction:

Can you help me search for recent medRxiv papers on genomics?

The search results will include the following information:

• Paper title
• List of authors
• Digital Object Identifier (DOI)

Get Paper Details

Enter the DOI to obtain detailed information about the paper:

Please show the detailed content of paper 10.1101/003541.

The returned information includes:

• Complete paper title
• List of authors
• Publication date
• Paper abstract
• Links to available formats (PDF/HTML)

📚 Documentation

Project Structure

• medrxiv_server.py: The main MCP server implementation, using the FastMCP framework.
• medrxiv_web_search.py: Contains the web crawler logic for searching medRxiv.

TODO Features

• Download Papers: Implement the function to download and save papers.
• Read Paper Content: Parse the content of downloaded papers.
• List Downloaded Papers: List all downloaded papers.

Research Analysis Prompts

This server provides specially designed prompts to assist in the analysis of academic papers:

Deep Paper Analysis Prompt

Invoke the system's paper analysis process using the following call:

result = await call_prompt("deep-paper-analysis", {
    "paper_id": "2401.12345"
})

This prompt includes:

• Detailed instructions on using existing tools (list_papers, download_paper, read_paper, search_papers)
• A systematic analysis process
• A comprehensive analysis structure covering:
  • Executive summary
  • Research background
  • Methodology analysis
  • Results evaluation
  • Practical and theoretical implications
  • Future research directions
  • Broader impacts

Configuration Examples

Claude Desktop Configuration (Mac OS)

Add the following content to claude_desktop_config.json:

{
  "mcpServers": {
    "medrxiv": {
      "command": "python",
      "args": ["-m", "medrxiv-mcp-server"]
    }
  }
}

Windows Configuration

Add the following content to claude_desktop_config.json:

{
  "mcpServers": {
    "medrxiv": {
      "command": "C:\\Users\\YOUR_USERNAME\\AppData\\Local\\Programs\\Python\\Python311\\python.exe",
      "args": [
        "-m",
        "medrxiv-mcp-server"
      ]
    }
  }
}

Cline Configuration

{
  "mcpServers": {
    "medrxiv": {
      "command": "bash",
      "args": [
        "-c",
        "source /home/YOUR/PATH/mcp-server-medRxiv/.venv/bin/activate && python /home/YOUR/PATH/mcp-server-medRxiv/medrxiv_server.py"
      ],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}

🔧 Technical Details

• Related Dependencies:
  • FastMCP: Used to build the MCP protocol server.
  • requests: A library for handling HTTP requests.
  • beautifulsoup4: Used for web content parsing.

📄 License

Please check the project repository for relevant license information.

Contribution Guidelines

Welcome to submit issues and pull requests. For more information, please visit the project homepage.