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medRxiv MCP Server

@JackKuo666

代码仓库

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stdio

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JackKuo666

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

medRxiv MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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.

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