Cover image
Try Now
2025-03-18

🔍 Ermöglichen Sie AI -Assistenten, über eine einfache MCP -Schnittstelle nach Biorxiv -Papieren zu suchen und zugreifen zu können.

3 years

Works with Finder

1

Github Watches

4

Github Forks

9

Github Stars

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.

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Khalid kalib
  • Write professional emails

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • INFOLAB OPERATIONS 2
  • A medical specialist offering assistance grounded in clinical guidelines. Disclaimer: This is intended for research and is NOT safe for clinical use!

  • Callycode Limited
  • A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.

  • Yasir Eryilmaz
  • AI scriptwriting assistant for short, engaging video content.

  • J. DE HARO OLLE
  • Especialista en juegos de palabras en varios idiomas.

  • apappascs
  • Entdecken Sie die umfassendste und aktuellste Sammlung von MCP-Servern auf dem Markt. Dieses Repository dient als zentraler Hub und bietet einen umfangreichen Katalog von Open-Source- und Proprietary MCP-Servern mit Funktionen, Dokumentationslinks und Mitwirkenden.

  • OffchainLabs
  • GO -Umsetzung des Ethereum -Beweises des Anteils

  • huahuayu
  • Ein einheitliches API-Gateway zur Integration mehrerer Ethercan-ähnlicher Blockchain-Explorer-APIs mit Modellkontextprotokoll (MCP) für AI-Assistenten.

  • deemkeen
  • Steuern Sie Ihren MBOT2 mit einer Power Combo: MQTT+MCP+LLM

  • zhaoyunxing92
  • 本项目是一个钉钉 MCP (Message Connector Protocol )服务 , 提供了与钉钉企业应用交互的 api 接口。项目基于 Go 语言开发 , 支持员工信息查询和消息发送等功能。

  • pontusab
  • Die Cursor & Windsurf -Community finden Regeln und MCPs

    Reviews

    1 (1)
    Avatar
    user_JlrDPzBq
    2025-04-15

    This YouTube transcript extractor for your LLM by markmansour is a game-changer for anyone working with language models. It seamlessly integrates with your workflow, providing accurate and efficient transcript extraction from YouTube videos. The straightforward interface and quick processing time make it an essential tool for data analysts and researchers. Highly recommend!