NumPy MCP Server

Example Use Cases

• 1

  Perform basic arithmetic and matrix operations via a standardized MCP interface.

• 2

  Conduct statistical analysis and polynomial fitting on numerical data.

• 3

  That require integration of numerical computation capabilities within Claude or other MCP-compatible LLMs.

Description

This MCP server offers a standardized interface for performing various numerical computations such as basic arithmetic, linear algebra, statistical analysis, and polynomial fitting using the NumPy library. It enables seamless integration with Claude and other MCP-compatible LLMs, allowing users to perform complex mathematical operations through natural language commands. The server supports easy installation and development, making it accessible for both quick setup and advanced custom deployments.