Math Operations
Provides basic arithmetic operations and matrix multiplication with 64-bit floating point precision, handling edge ca...
What it does
Provides basic arithmetic operations and matrix multiplication with 64-bit floating point precision, handling edge cases like division by zero and empty inputs for reliable mathematical computation in educational and data analysis workflows.
Math MCP Server provides basic arithmetic operations and matrix multiplication with 64-bit floating point precision using NumPy for efficient computation. Built by Avanish Davuluri using FastMCP framework, the implementation offers five core tools: add and multiply for lists of numbers, subtract and divide for pairs of numbers, and matrix_multiplication for 2D matrix operations with automatic dimension validation. Designed for AI assistants that need reliable mathematical computation capabilities, it handles edge cases like division by zero and empty inputs with proper error handling, making it valuable for educational applications, data analysis workflows, and any use case requiring precise numerical calculations.
Capabilities
Server
Quality
deterministic score 0.55 from registry signals: · indexed on pulsemcp · has source repo · 1 github stars · registry-generated description present