MCP server for PubMed medical research search with Impact Factor analysis
Overview
What is PubMed Search MCP Server?
PubMed Search MCP Server is a tool designed for medical research that analyzes medical questions and searches for relevant papers on PubMed, providing results sorted by relevance and journal Impact Factor in EndNote format.
How to use PubMed Search MCP Server?
To use the server, you need to set up the environment with Node.js, an NCBI API key, and an Impact Factor data file. You can run the server using command line tools or Docker, and input your medical query to receive results.
Key features of PubMed Search MCP Server?
- Query Analysis: Analyzes medical questions to search for relevant papers via the PubMed API.
- Relevance Analysis: Selects the most relevant papers based on title, abstract, and MeSH terms.
- Impact Factor Sorting: Sorts papers by journal Impact Factor to highlight influential research.
- EndNote Format Output: Outputs selected papers in a format compatible with EndNote for easy reference management.
- Result Classification: Provides results in three categories: high relevance papers, high Impact Factor papers, and papers from journals without Impact Factor data.
Use cases of PubMed Search MCP Server?
- Searching for relevant medical literature for research projects.
- Analyzing the impact of specific journals on medical research.
- Managing references for academic writing in EndNote format.
FAQ from PubMed Search MCP Server?
- Can I use PubMed Search MCP Server for any medical topic?
Yes! It is designed to handle a wide range of medical queries.
- Is there a cost to use the PubMed Search MCP Server?
No, it is free to use as long as you have the necessary API key and data files.
- How do I obtain an NCBI API key?
You can obtain a free API key from the NCBI website.