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 to analyze 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 tools accessible via command-line interface or integration with tools like Cursor. Configure the mcp.json file with the correct paths to Python and the server script. Use the provided MCP tools with appropriate parameters such as email, search queries, and file names. Example usage with Cursor is provided in the README.
Key features of PubMed Analysis MCP Server
Literature Retrieval with advanced search syntax
Hotspot Analysis to identify popular research areas
Trend Tracking to reveal evolving research trends
Publication Count analysis with customizable time periods
Comprehensive Reports generation
Use cases of PubMed Analysis MCP Server
Identifying emerging trends in a specific medical field
Analyzing the impact of a new treatment on publication volume
Discovering the most frequently discussed keywords related to a disease
Generating comprehensive reports for grant applications or literature reviews
FAQ from PubMed Analysis MCP Server
How do I install the dependencies?
How do I install the dependencies?
Use pip install -r requirements.txt or uv pip install -r requirements.txt to install the required Python packages.
Where are the results saved?
Where are the results saved?
The results are saved in the results directory.
Where are the logs located?
Where are the logs located?
The logs are located in the pubmed_server.log file.
What email address should I use?
What email address should I use?
Use your own email address when prompted by the tools, as it is required by NCBI.
How can I contribute to the project?
How can I contribute to the project?
You can contribute by submitting Issues or Pull Requests on the GitHub repository.