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.
@Darkroaster
基本信息
A PubMed MCP server.
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"
]
}
}
}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。
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.
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.
It queries PubMed, the National Library of Medicine's database of biomedical literature, and requires an NCBI API key and email.
Log in to PubMed, go to Account Settings, scroll to the "API Keys" section, and click "Create API Key".
It requires Python with uv (virtual environment) and the dependencies listed in `pyproject.toml`. The server runs locally.
Result files are saved in the `pubmearch/results` directory, and logs are stored in `pubmed_server.log`.
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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