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PubMed Analysis MCP Server

@Darkroaster

基本信息

分类

数据与分析

许可证

MIT

传输方式

stdio

作者

Darkroaster

关于 PubMed Analysis MCP Server

A PubMed MCP server.

PubMed Analysis 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-MCP-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

PubMed Analysis 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 Analysis MCP Server?

It is a professional MCP server that analyzes PubMed medical literature, helping researchers quickly gain insights into medical research dynamics. It provides tools for literature retrieval, hotspot analysis, trend tracking, and publication statistics.

How to use PubMed Analysis MCP Server?

Install dependencies with uv in the project directory, then configure the MCP client (e.g., in mcp.json) with the command to run the server and set the NCBI_USER_EMAIL and NCBI_USER_API_KEY environment variables. Communicate with the server via large language models, using the provided tools such as search_pubmed, analyze_research_keywords, and generate_comprehensive_analysis.

Key features of PubMed Analysis MCP Server

  • Literature retrieval with PubMed advanced search syntax and date filtering.
  • Hotspot analysis by keyword frequency to identify popular research areas.
  • Trend tracking of keyword frequency changes over time.
  • Publication count analysis with customizable time periods.
  • Comprehensive report generation with customizable parameters.

Use cases of PubMed Analysis MCP Server

  • Analyze research hotspots on a specific medical topic over a recent period.
  • Track the evolution of research trends for a given keyword over time.
  • Generate a comprehensive analysis report including hotspots, trends, and publication statistics.
  • Quickly obtain a summary of recent literature on a disease or treatment.

常见问题

1

What data sources does it use?

It queries PubMed, the National Library of Medicine's database of biomedical literature, and requires an NCBI API key and email.

2

How do I get an NCBI API key?

Log in to PubMed, go to Account Settings, scroll to the "API Keys" section, and click "Create API Key".

3

What are the runtime requirements?

It requires Python with uv (virtual environment) and the dependencies listed in `pyproject.toml`. The server runs locally.

4

Where are results saved?

Result files are saved in the `pubmearch/results` directory, and logs are stored in `pubmed_server.log`.

5

What transport or authentication does it use?

The server uses the MCP protocol; authentication is via the NCBI API key set in the `NCBI_USER_API_KEY` environment variable. No other transport or auth details are provided.

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