bioRxiv-MCP-Server

Integrations

  • Enables searching for and retrieving metadata about bioRxiv papers using their DOI identifiers

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.

-
security - not tested
F
license - not found
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

🔍 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

  1. ✨ Core Features
    1. 🚀 Quick Start
      1. Prerequisites
      2. Installation
      3. Installing via Smithery
    2. 📊 Usage
      1. 🛠 MCP Tools
        1. Searching Papers
        2. Getting Paper Details
      2. 📁 Project Structure
        1. 🔧 Dependencies
          1. 🤝 Contributing
            1. 📄 License
              1. ⚠️ Disclaimer

                Related MCP Servers

                • A
                  security
                  A
                  license
                  A
                  quality
                  The ArXiv MCP Server bridges the gap between AI models and academic research by providing a sophisticated interface to arXiv's extensive research repository. This server enables AI assistants to perform precise paper searches and access full paper content, enhancing their ability to engage with scientific literature.
                  Last updated -
                  4
                  969
                  Python
                  Apache 2.0
                  • Linux
                  • Apple
                • -
                  security
                  F
                  license
                  -
                  quality
                  🔍 Enable AI assistants to search and access medRxiv papers through a simple MCP interface. The medRxiv MCP Server provides a bridge between AI assistants and medRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for health sciences preprints and acce
                  Last updated -
                  1
                  Python
                  • Linux
                  • Apple
                • -
                  security
                  A
                  license
                  -
                  quality
                  An MCP server enabling AI assistants to search and analyze pharmaceutical data through Cortellis. Features comprehensive drug search, ontology exploration, and real-time clinical trial data access.
                  Last updated -
                  Python
                  MIT License
                  • Linux
                  • Apple
                • -
                  security
                  A
                  license
                  -
                  quality
                  🔍 Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.
                  Last updated -
                  13
                  Python
                  MIT License
                  • Apple
                  • Linux

                View all related MCP servers

                ID: ly1yoo93vv