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math-mcp

math-mcp

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andylbrummer.github.ioScience & Education2Updated 26w ago
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About math-mcp

math-mcp is an MCP server for scientific computing, combining symbolic algebra with numerical tools. It supports GPU-accelerated matrix operations and mathematical transforms.

Key features

  1. 01Symbolic equation solving and simplification
  2. 02Differentiation and integration
  3. 03GPU-accelerated matrix operations
  4. 04FFT and inverse FFT
  5. 05Function optimization and root finding

Use cases

  1. 01Performing symbolic calculus
  2. 02Solving linear systems
  3. 03Analyzing signal frequency components

MCP support

As an MCP server, it exposes tools for symbolic algebra, numerical computing, FFT, optimization, and root finding to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "andylbrummer-math": {
      "command": "uvx",
      "args": [
        "scicomp-math-mcp"
      ]
    }
  }
}
Run commanduvx scicomp-math-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiscicomp-math-mcp0.1.6

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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.

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