Extreme P Value MCP Server
An MCP server project that provides R language extreme P-value calculation functions through Python
rating : 2 points
downloads : 6.4K
What is the Extreme P-value MCP Server?
This is an API service specifically designed for calculating extreme p-values, which implements statistical calculation functions by calling the R language through Python. It is particularly suitable for scientific research and data analysis scenarios that require handling highly significant statistical results.How to use the Extreme P-value service?
You can access the service through the MCP protocol or directly call the Python interface. The service provides extreme p-value calculation functions for multiple statistical test methods.Applicable scenarios
Genomics research, large-scale statistical tests, scientific research analysis requiring handling of highly significant p-values, statistical software verification, etc.Main functions
Calculation of p-value for z-test
Calculate the extreme p-value of the standard normal distribution (z-distribution)
Calculation of p-value for t-test
Calculate the extreme p-value of the Student's t-distribution
Calculation of p-value for F-test
Calculate the extreme p-value of the F-distribution
Calculation of p-value for chi-square test
Calculate the extreme p-value of the chi-square distribution
Calculation of p-value using the SAIGE method
Calculate the extreme p-value using the SAIGE method
Advantages
Accurately calculate extreme p-values, avoiding the underflow problem of traditional methods
Support multiple statistical test methods
Provide an API interface for easy integration into existing workflows
Based on mature R language statistical calculations
Limitations
Dependent on the R language environment
Currently in the development stage, and the API may change
Requires a Python environment to run
How to use
Install dependencies
Ensure that Python and the R environment are installed on the system, and then install the project dependencies
Configure the MCP client
Add the server configuration to your MCP client (such as Claude, Cursor, etc.)
Start the server
Run the server to start accepting requests
Usage examples
Genome-wide association analysis
Calculate highly significant association p-values in GWAS research
Statistical software verification
Verify the accuracy of extreme p-values calculated by other statistical software
Frequently Asked Questions
Why is it necessary to specifically calculate extreme p-values?
Which software environments does the service depend on?
How to verify the accuracy of the calculation results?
Which statistical test methods does the service support?
Related resources
R script source code
The original R language implementation of the extreme p-value calculation method
FastMCP project
The MCP server framework used in this project
pyper documentation
The interface library for Python to call R

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