PubMed Analysis MCP Server
by Darkroaster
A professional MCP server for analyzing PubMed medical literature. It helps researchers quickly gain insights into medical research dynamics.
Last updated: N/A
What is PubMed Analysis MCP Server?
This is an MCP server designed for analyzing medical literature from PubMed. It provides tools for literature retrieval, hotspot analysis, trend tracking, publication count analysis, and comprehensive report generation.
How to use PubMed Analysis MCP Server?
The server provides several MCP tools accessible via command-line interface or through integration with tools like Cursor. Configure the server in your mcp.json file with the path to your Python executable and the server script. Use the provided commands and parameters to perform specific analyses, such as searching PubMed, analyzing research hotspots, or generating comprehensive reports.
Key features of PubMed Analysis MCP Server
Literature Retrieval (PubMed advanced search)
Hotspot Analysis (keyword frequency analysis)
Trend Tracking (keyword frequency over time)
Publication Count (literature volume analysis)
Comprehensive Reports (one-click report generation)
Use cases of PubMed Analysis MCP Server
Identifying emerging research trends in specific medical fields.
Analyzing the popularity of different treatment approaches.
Tracking the impact of new discoveries on publication volume.
Generating reports for grant applications or literature reviews.
FAQ from PubMed Analysis MCP Server
How do I search PubMed?
How do I search PubMed?
Use the search_pubmed tool with your email address and a PubMed advanced search query. You can also specify the maximum number of results.
Where are the results saved?
Where are the results saved?
Results are saved in the results directory.
How do I analyze research hotspots?
How do I analyze research hotspots?
Use the analyze_research_hotspots tool, providing the result filename and the number of top keywords to analyze.
How do I track research trends over time?
How do I track research trends over time?
Use the analyze_research_trends tool.
How do I generate a comprehensive analysis report?
How do I generate a comprehensive analysis report?
Use the generate_comprehensive_analysis tool.