scicomp-math-mcp 0.1.6

MCP server for symbolic algebra and GPU-accelerated numerical computing

scicomp-math-mcp

mcp-name: io.github.andylbrummer/math-mcp

MCP server for symbolic algebra and GPU-accelerated numerical computing.

Overview

This server provides tools for mathematical computation combining symbolic algebra with numerical computing:

• Symbolic mathematics - Equations, simplification, differentiation, integration (via SymPy)
• GPU-accelerated numerics - Fast array operations and linear algebra
• Mathematical transforms - FFT, optimization, root finding
• Linear systems - Solving systems of equations with GPU acceleration

Installation & Usage

# Run directly with uvx (no installation required)
uvx scicomp-math-mcp

# Or install with pip
pip install scicomp-math-mcp

# Then run as a command
scicomp-math-mcp

Available Tools

Symbolic Computation

• symbolic_solve - Solve symbolic equations
• symbolic_diff - Compute derivatives
• symbolic_integrate - Compute integrals
• symbolic_simplify - Simplify expressions

Numerical Computing

• create_array - Create arrays with various patterns
• matrix_multiply - GPU-accelerated matrix multiplication
• solve_linear_system - Solve Ax = b
• fft / ifft - Fast Fourier transforms
• optimize_function - Function minimization
• find_roots - Find function roots

Configuration

Set the MCP_USE_GPU environment variable to enable GPU acceleration:

MCP_USE_GPU=1 scicomp-math-mcp

Examples

📖 Code Examples

Practical tutorials in EXAMPLES.md:

• Projectile motion with symbolic + numerical computation
• Chemical equilibrium analysis
• Fourier signal analysis
• Circuit analysis with linear systems
• Progressive difficulty (beginner → advanced)

📚 Full Documentation

See the API documentation for complete API reference.

Part of Math-Physics-ML MCP System

Part of a comprehensive system for scientific computing. See the documentation for the complete ecosystem.