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Pubmed

Created By
JackKuo6669 months ago
Overview

what is PubMed MCP Server?

The PubMed MCP Server is a tool that enables AI assistants to search, access, and analyze PubMed articles through a simple Model Context Protocol (MCP) interface, bridging AI models with a vast repository of biomedical literature.

how to use PubMed MCP Server?

To use the PubMed MCP Server, install it via the Smithery CLI, clone the repository, install dependencies, and start the server. You can then interact with the server to search for articles, retrieve metadata, and perform analyses.

key features of PubMed MCP Server?

  • Paper Search: Query PubMed articles with keywords or advanced search.
  • Efficient Retrieval: Fast access to paper metadata.
  • Metadata Access: Retrieve detailed metadata for specific papers.
  • Research Support: Facilitate biomedical sciences research and analysis.
  • Paper Access: Attempt to download full-text PDF content.
  • Deep Analysis: Perform comprehensive analysis of papers.
  • Research Prompts: A set of specialized prompts for paper analysis.

use cases of PubMed MCP Server?

  1. Searching for recent papers on specific biomedical topics.
  2. Retrieving detailed metadata for research articles.
  3. Performing deep analyses of scientific papers.

FAQ from PubMed MCP Server?

  • Can I search for any biomedical topic?

Yes! You can search for articles on a wide range of biomedical topics using keywords or advanced search options.

  • Is there a way to download full-text articles?

The server attempts to download full-text PDFs when available, but access may depend on the article's availability.

  • What are the prerequisites for using the server?

You need Python 3.10+ and the FastMCP library installed.

Server Config

{
  "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": []
    }
  }
}
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