Pubmed_Search
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The PubMed Search MCP Server analyzes medical queries to search for related papers on PubMed, providing results based on relevance and journal Impact Factor in EndNote format.
The PubMed Search MCP Server is designed to facilitate the search and analysis of medical literature by leveraging the PubMed API. It processes medical-related queries, identifies the most relevant papers, and sorts them based on the journal's Impact Factor. The server outputs the results in an EndNote-compatible format, making it easier for users to manage their references. The server also categorizes results into three files: highly relevant papers, high Impact Factor papers, and papers from journals without Impact Factor data. This tool is particularly useful for researchers and medical professionals who need to quickly access and organize high-quality medical literature.
Features
- Search Query Analysis: Analyzes medical-related questions to search for medical papers using the PubMed API.
- Relevance Analysis: Selects the most relevant papers by analyzing titles, abstracts, and MeSH terms.
- Impact Factor Sorting: Sorts papers based on the journal's Impact Factor to provide influential research.
- EndNote Format Output: Outputs selected papers in an EndNote-compatible format for easy reference management.
- Result Classification: Provides results in three files: highly relevant papers, high Impact Factor papers, and papers from journals without Impact Factor data.
Tools
pubmed_search
Searches and analyzes medical papers on PubMed.
load_impact_factor
Loads Impact Factor data file.
