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MCP server for symbolic algebra and GPU-accelerated numerical computing

Project description

scicomp-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

See the API documentation for detailed examples and API reference.

Part of Math-Physics-ML MCP System

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

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