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PubMed Enhanced Search Server

@leescot

リポジトリ

PubMed Enhanced Search Server について

pubmed-mcp-smithery

#pubmed#mcp#academic-research

基本情報

カテゴリ

データと分析

ランタイム

python

トランスポート

stdio

公開者

leescot

投稿者

坤峰 李

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is PubMed Enhanced Search Server?

A Model Context Protocol (MCP) server that provides tools to search and retrieve academic papers from the PubMed database. It includes enhanced features such as MeSH term lookup, publication count statistics, and PICO-based evidence search. Designed for researchers, clinicians, and anyone conducting medical literature reviews.

How to use PubMed Enhanced Search Server?

Install Python 3.6+, fastmcp, and requests; then clone the repository and start the server with python pubmed_enhanced_mcp_server.py or in development mode with mcp dev pubmed_enhanced_mcp_server.py. Add the server to Claude Desktop by editing the claude_desktop_config.json file with the server's command and path.

Key features of PubMed Enhanced Search Server

  • Search PubMed by keywords with optional journal filter
  • Sort results by relevance or date (newest/oldest)
  • Look up MeSH terms related to a medical concept
  • Get publication counts for multiple search terms
  • Retrieve detailed paper info including abstract, DOI, authors
  • Perform structured PICO searches with synonym support

Use cases of PubMed Enhanced Search Server

  • Conduct literature searches for systematic reviews
  • Compare publication prevalence across multiple medical topics
  • Perform structured evidence-based searches using the PICO framework
  • Retrieve detailed metadata and abstracts for specific papers by PMID

FAQ from PubMed Enhanced Search Server

What are the prerequisites to run the server?

Python 3.6 or later and pip. The dependencies fastmcp and requests must be installed via pip.

How do I install the server?

Clone the repository, then run pip install fastmcp requests in the project directory.

What MCP functions does the server provide?

Five functions: search_pubmed, get_mesh_terms, get_pubmed_count, format_paper_details, and pico_search. Each accepts specific parameters and returns structured data.

How does the server handle NCBI rate limiting?

The server implements an automatic retry mechanism with backoff delays to handle potential rate limiting by NCBI's E-utilities service.

What license is this project under?

The project is licensed under the BSD 3-Clause License. See the LICENSE file for details.

コメント

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