Numpy

About

This MCP server facilitates numerical computations and operations using the NumPy library, enabling LLMs like Claude to perform mathematical calculations directly. It offers a standardized MCP interface for basic arithmetic, linear algebra, statistical analysis, and polynomial fitting, streamlining the integration of numerical tasks into LLM workflows.

Key Features

• Performs basic arithmetic operations like addition.
• Provides statistical analysis, calculating mean, median, standard deviation, min, and max.
• Implements a Model Context Protocol (MCP) server for standardized LLM interaction
• Executes linear algebra computations, including matrix multiplication and eigendecomposition.
• Fits polynomials to data points.

Use Cases

• Calculate eigenvalues of a given matrix.
• Find the mean and standard deviation of a dataset.
• Multiply matrices using LLM commands.