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bioRxiv MCP Server: Global Access & Seamless Updates - MCP Implementation

bioRxiv MCP Server: Global Access & Seamless Updates

bioRxiv MCP Server: The trusted mirror for life sciences preprints – lightning-fast global access, seamless updates, and reliability researchers worldwide depend on.

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Ranked in the top 10% of all AI tools in its category

About bioRxiv MCP Server

What is bioRxiv MCP Server: Global Access & Seamless Updates?

Consider a molecular biologist urgently needing access to the latest genomics research. Without leaving their AI workspace, they query "recent CRISPR-Cas9 studies" and instantly retrieve peer-reviewed preprints from bioRxiv. This seamless experience is powered by the bioRxiv MCP Server—a dedicated interface enabling AI assistants to programmatically search, retrieve, and analyze biological research papers through the Model Context Protocol (MCP). Acting as a bridge between AI tools and bioRxiv's vast repository, it provides structured access to metadata, full-text content, and persistent local storage for rapid iterative research.

How to use bioRxiv MCP Server: Global Access & Seamless Updates?

Researchers initiate by installing the server via Python dependencies, then configure their AI environment to communicate through standardized MCP endpoints. Key workflows include:
1. Issue search queries using natural language or structured parameters
2. Receive ranked metadata responses containing DOIs and abstracts
3. Retrieve full-text content or citation details using resolved DOIs
4. Maintain local caches for high-performance repeat access

bioRxiv MCP Server Features

Key Features of bioRxiv MCP Server: Global Access & Seamless Updates?

  • Context-Aware Search: Advanced natural language processing for precise literature discovery
  • Metadata Orchestration: Structured JSON responses with standardized bioRxiv fields
  • Version Tracking: Automatic detection of manuscript revisions using version hashes
  • Rate Limiting: Built-in protection adhering to bioRxiv's API policies
  • Local Persistence: SQLite-backed cache for offline reference and rapid re-query

Use Cases of bioRxiv MCP Server: Global Access & Seamless Updates?

Pharmaceutical researchers leverage it for:
Real-time surveillance of emerging SARS-CoV-2 variants
Comparative analysis of competing therapeutic approaches
Automated generation of literature reviews for grant proposals
Academics use it to:
Cross-reference preprint data with published findings

bioRxiv MCP Server FAQ

FAQ from bioRxiv MCP Server: Global Access & Seamless Updates?

Q: Does this tool require bioRxiv API credentials?
A: No, it uses open-access web scraping with rate limiting to comply with terms of service.

Q: Can it integrate with Jupyter notebooks?
A: Yes, provides Python SDK for notebook workflows and data visualization pipelines.

Q: How are access rights managed?
A: Implements role-based access control through environment variables, restricting sensitive operations.

Q: What update mechanisms exist?
A: Automatic dependency updates via pip and manual configuration for major bioRxiv interface changes.

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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