Fermat (Mathematical Computing)

Provides mathematical computation and plotting capabilities through matplotlib for data visualization, NumPy for numerical operations, and SymPy for symbolic mathematics, enabling matrix operations, statistical calculations, equation solving, and calculus problems.

This MCP server provides AI assistants with mathematical computation and plotting capabilities through three specialized modules: matplotlib for data visualization, NumPy for numerical operations, and SymPy for symbolic mathematics, built using Python with FastMCP and modular architecture. The implementation offers comprehensive tools for creating bar charts with customizable orientations and styling, performing matrix operations and statistical calculations, solving algebraic equations and calculus problems, and handling symbolic computation tasks like differentiation and integration. Built with unified function interfaces, JSON-serializable outputs, and prefix-based module organization, it serves data scientists needing conversational access to mathematical tools, educators requiring AI-assisted problem solving across numerical and symbolic domains, and researchers wanting to integrate mathematical computation into automated workflows without direct library interaction.