Darkroaster/pubmearch
3.8
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A professional MCP server for analyzing PubMed medical literature to help researchers quickly gain insights into medical research dynamics.
Tools
Functions exposed to the LLM to take actions
search_pubmed
list_result_files
Lists all available PubMed result files.
Two types of files are returned:
- JSON files (recommended): structured data, suitable for AI model analysis
- TXT files (alternative): plain text format, for backward compatibility
analyze_research_keywords
Analyze the research hotspots and trends in PubMed result files according keywords.
Note: It is recommended to use JSON format files for better analysis results.
Args:
filename: File name of results. (.json format is recommended)
top_n: Return the top n hot keywords.
include_trends: Boolean value to determine whether to include trends analysis. Default is True.
analyze_publication_count
Analyze publication counts over time from a PubMed results file.
Note: It is recommended to use JSON format files for better analysis results.
Args:
filename: File name of results. (.json format is recommended)
months_per_period: Number of months per analysis period
generate_comprehensive_analysis
Generate a comprehensive analysis of a PubMed results file.
Note: It is recommended to use JSON format files for better analysis results.
Args:
filename: File name of results. (.json format is recommended)
top_keywords: Number of top keywords to analyze
months_per_period: Number of months per analysis period
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client
