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medRxiv MCP Server

@JackKuo666

Repository

Basic information

Category

Other

Transports

stdio

Author

JackKuo666

About medRxiv MCP Server

🔍 Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.

#mcp-server#medrxiv#ai-assistant

medRxiv MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-bioRxiv": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "install",
        "@JackKuo666/biorxiv-mcp-server",
        "--client",
        "claude",
        "--config",
        "{}"
      ]
    }
  }
}

medRxiv MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is medRxiv MCP Server?

It bridges AI assistants with bioRxiv's preprint repository via the Model Context Protocol (MCP), enabling AI models to search for biology preprints and access their metadata programmatically.

How to use medRxiv MCP Server?

Requires Python 3.10+ and the FastMCP library. Clone the repository, install dependencies, then start the server with python biorxiv_server.py. Alternatively, install via Smithery for Claude Desktop, Cursor, Windsurf, or CLine by adding the appropriate configuration to the client's MCP settings.

Key features of medRxiv MCP Server

  • Paper search with keywords or advanced parameters
  • Fast retrieval of paper metadata
  • Download and read full paper content
  • List all locally stored papers
  • Local storage for faster subsequent access
  • Specialized prompts for paper analysis

Use cases of medRxiv MCP Server

  • Search bioRxiv for recent papers on a topic like genomics
  • Retrieve detailed metadata for a paper given its DOI
  • Download and review preprint content for research or analysis
  • Build AI-powered research assistants that can query bioRxiv

Frequently asked questions

1

What are the runtime requirements?

Python 3.10 or higher, plus the FastMCP, asyncio, and logging libraries.

2

How do I search for papers?

Ask the AI assistant queries such as "Can you search bioRxiv for recent papers about genomics?"

3

How do I get details of a specific paper?

Provide the paper's DOI and request its metadata, e.g., "Show me the metadata for DOI 10.1101/123456."

4

Where are papers stored?

Papers are saved locally on your machine for faster subsequent access.

5

Are there any usage restrictions?

This tool is for research purposes only. Users must respect bioRxiv's terms of service.

Comments

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