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medRxiv MCP Server

@MCP-Mirror

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MCP-Mirror

关于 medRxiv MCP Server

Mirror of

#medrxiv#mcp-server#health-sciences

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": {
    "JackKuo666_medRxiv-MCP-Server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "install",
        "@JackKuo666/medrxiv-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?

The medRxiv MCP Server provides a bridge between AI assistants and medRxiv’s preprint repository through the Model Context Protocol (MCP). It enables AI models to search for health sciences preprints and access their metadata programmatically.

How to use medRxiv MCP Server?

Install the server via Smithery (npx @smithery/cli ...) or manually with uv tool install medRxiv-mcp-server. Start the server with python medrxiv_server.py. Then use MCP tools – search_medrxiv_key_words, search_medrxiv_advanced, or get_medrxiv_metadata – in your AI assistant. For Claude Desktop, add the server configuration to claude_desktop_config.json.

Key features of medRxiv MCP Server

  • Search medRxiv papers by keywords or advanced parameters
  • Fetch detailed metadata using a paper’s DOI
  • Perform advanced searches with author, date range, and section filters
  • Access research prompts for structured paper analysis

Use cases of medRxiv MCP Server

  • Search for recent preprints on COVID-19 vaccine efficacy
  • Retrieve metadata for a specific paper given its DOI
  • Find papers by a particular author within a date range
  • Support health‑sciences research and literature reviews

常见问题

1

How do I install medRxiv MCP Server?

You can install it automatically via Smithery or manually with `uv tool install medRxiv-mcp-server`. For development, clone the repository and run `uv venv` and `uv pip install -r requirements.txt`.

2

What Python version is required?

Python 3.10 or higher is required.

3

Does the server require a medRxiv API key?

No, the server uses web scraping (requests and beautifulsoup4) to access medRxiv data, so no API key is needed.

4

How do I configure it with Claude Desktop?

Add the appropriate server block to `claude_desktop_config.json` with the command `python -m medrxiv-mcp-server` (or the full Python path on Windows).

5

What MCP tools are available?

Three tools: `search_medrxiv_key_words` (keyword search), `search_medrxiv_advanced` (advanced search with multiple filters), and `get_medrxiv_metadata` (metadata lookup by DOI).

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