JeffersonStats MCP Server

Example Use Cases

• 1

  Perform basic and advanced statistical calculations via an API.

• 2

  Conduct hypothesis testing and data analysis in a scalable server environment.

• 3

  A containerized, easy-to-deploy statistical analysis service compatible with multiple MCP clients.

Description

JeffersonStats is a powerful statistical analysis server built on the FastMCP framework, offering over 30 statistical tools including basic statistics, advanced analysis, hypothesis testing, and data analysis. It is optimized for fast computation using NumPy and SciPy, supports easy integration through a simple HTTP API, and is containerized for easy deployment and scalability. This makes it suitable for handling large datasets efficiently with reliable, industry-standard statistical implementations.