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PubMed Search MCP Server

@YOUNGSUK81

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

YOUNGSUK81

关于 PubMed Search MCP Server

MCP server for PubMed medical research search with Impact Factor analysis

#pubmed#medical-research#impact-factor

PubMed Search 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": {
    "Pubmed_Search": {
      "command": "node",
      "args": [
        "impact-factor-converter.js",
        "impact-factor.pdf",
        "impact_factor_data.json"
      ]
    }
  }
}

PubMed Search 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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is PubMed Search MCP Server?

PubMed Search MCP Server is a Model Context Protocol (MCP) server that analyzes medical queries, searches PubMed for relevant articles, and ranks results by relevance and journal Impact Factor, outputting them in EndNote-compatible format.

How to use PubMed Search MCP Server?

Install Node.js 16+, obtain a free NCBI API key, and prepare an Impact Factor data JSON file. Clone the repository, run npm install and npm run build, set environment variables (NCBI_API_KEY, IMPACT_FACTOR_PATH, OUTPUT_DIR), then configure the server in your MCP client (e.g., Claude Desktop, VS Code).

Key features of PubMed Search MCP Server

  • Analyzes medical questions and searches PubMed for relevant articles
  • Filters results by relevance using title, abstract, and MeSH terms
  • Sorts articles by journal Impact Factor for influential research
  • Outputs EndNote-compatible format for literature management
  • Provides three categorized result files: relevance, impact factor, and unknown
  • Supports pubmed_search and load_impact_factor MCP tools

Use cases of PubMed Search MCP Server

  • Researchers needing a curated list of highly relevant medical papers
  • Literature reviews that require Impact Factor–weighted article rankings
  • Exporting PubMed search results directly into EndNote reference managers
  • Automating medical literature searches within MCP‑enabled assistants (e.g., Claude Desktop)

常见问题

1

What does PubMed Search MCP Server do?

It takes a medical question, searches PubMed, analyzes articles for relevance and Impact Factor, and outputs the results as three EndNote‑formatted files.

2

What are the prerequisites for running it?

Node.js 16 or higher, a free NCBI API key (sign up at https://ncbiinsights.ncbi.nlm.nih.gov/2017/11/02/new-api-keys-for-the-e-utilities/), and a JSON file containing Impact Factor data.

3

How are results delivered?

Three files are saved to the output directory: `relevance-results.txt` (highly relevant articles), `impact-factor-results.txt` (high‑impact articles), and `unknown-impact-factor.txt` (articles from journals not in the Impact Factor database).

4

Can I use PubMed Search MCP Server with Docker or VS Code?

Yes. The README provides configuration examples for Docker (via `docker run`) and for VS Code (in `.vscode/settings.json` or user settings).

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