PubMed MCP Server

@JackKuo666

代码仓库

基本信息

分类

数据与分析

许可证

MIT

传输方式

stdio

作者

JackKuo666

关于 PubMed MCP Server

🔍 Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.

#pubmed #mcp-server#biomedical-research

PubMed 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": {
      "command": "bash",
      "args": [
        "-c",
        "source /home/YOUR/PATH/mcp-server-pubmed/.venv/bin/activate && python /home/YOUR/PATH/pubmed-mcp-server.py"
      ],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}

PubMed 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 MCP Server?

PubMed MCP Server provides a bridge between AI assistants and PubMed’s biomedical literature repository through the Model Context Protocol (MCP). It enables AI models to search for scientific articles, access metadata, and perform deep analysis programmatically.

How to use PubMed MCP Server?

Install Python 3.10+, FastMCP, and other dependencies (requests, beautifulsoup4). Clone the repository, run pip install -r requirements.txt, then start the server with python pubmed_server.py. For desktop clients, configure the MCP server JSON (examples for Claude Desktop and Cline are provided). Alternatively, install automatically via Smithery (commands for Claude, Cursor, Windsurf, CLine).

Key features of PubMed MCP Server

Search PubMed articles using keywords or advanced queries.
Fast retrieval of paper metadata.
Access detailed metadata for specific papers (by PMID).
Attempt to download full-text PDF content.
Perform comprehensive deep paper analysis.
Provide specialized research prompts for paper analysis.
Facilitate biomedical sciences research and analysis.

Use cases of PubMed MCP Server

Query recent PubMed articles on a topic (e.g., CRISPR).
Retrieve metadata for a known paper using its PMID.
Request a deep analysis of a specific paper’s content.
Support literature reviews and biomedical research workflows.

常见问题

What are the system requirements?

Python 3.10+, FastMCP library, and packages: asyncio, logging, requests, beautifulsoup4.

How do I install the server?

Clone the repository, install dependencies via `pip install -r requirements.txt`, and run `python pubmed_server.py`. Optionally, install via Smithery for automated client setup.

What tools does PubMed MCP Server provide?

Five tools: `search_pubmed_key_words`, `search_pubmed_advanced`, `get_pubmed_article_metadata`, `download_pubmed_pdf`, and `deep_paper_analysis`.

Can I download full-text PDFs?

The tool `download_pubmed_pdf` attempts to download the full-text PDF for a PubMed article, but availability depends on PubMed’s access policies.

Is authentication required?

No authentication is mentioned. The server uses public PubMed APIs and respects PubMed’s terms of service.

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