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medRxiv MCP Server

@MCP-Mirror

medRxiv MCP Server について

Mirror of

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

MCP-Mirror

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "JackKuo666_medRxiv-MCP-Server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "install",
        "@JackKuo666/medrxiv-mcp-server",
        "--client",
        "claude",
        "--config",
        "{}"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from medRxiv MCP Server

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.

What Python version is required?

Python 3.10 or higher is required.

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.

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).

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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