PubMed Enhanced Search Server

Created By

leescot9 months ago

Overview

what is Pubmed Mcp Smithery?

Pubmed Mcp Smithery is a Model Content Protocol server designed to enhance the search and retrieval of academic papers from the PubMed database, offering additional features like MeSH term lookup and PICO-based evidence search.

how to use Pubmed Mcp Smithery?

To use the server, clone the repository from GitHub, install the necessary dependencies, and run the server locally. You can also integrate it with Claude Desktop by modifying the configuration file.

key features of Pubmed Mcp Smithery?

Keyword-based search with optional journal filtering
Sorting results by relevance or date
MeSH term lookup for related medical concepts
Publication count statistics for multiple search terms
Detailed paper information retrieval including abstracts and DOIs
Structured PICO-based searches with support for synonyms

use cases of Pubmed Mcp Smithery?

Conducting literature reviews in medical research
Comparing publication trends across different medical topics
Finding relevant studies for evidence-based practice

FAQ from Pubmed Mcp Smithery?

What programming language is required to run the server?

Python 3.6 or higher is required.

Can I filter search results by journal?

Yes, the server supports optional journal filtering in search queries.

Is there a limit to the number of search terms I can use?

No, you can use multiple search terms for both publication counts and PICO searches.

Server Config

{
  "mcpServers": {
    "pubmed-mcp-smithery": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "run",
        "@leescot/pubmed-mcp-smithery",
        "--config",
        "\"{}\""
      ]
    }
  }
}

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