Github Andylbrummer Math Mcp
GPU-accelerated MCP server: symbolic algebra, numerical computing, FFT, optimization, linear algebra
About This MCP Server
This system enables AI assistants to perform real scientific computing — from solving differential equations to running molecular dynamics simulations.
Quantum Wave Mechanics Double-slit interference pattern from solving the time-dependent Schrödinger equation
N-Body Dynamics Galaxy merger simulation using gravitational N-body calculations
Crystal Diffraction Bragg scattering from a hexagonal (graphene-like) lattice
Multi-Slit Interference Complex interference patterns from three coherent sources
This system provides 4 specialized MCP servers that bring scientific computing capabilities to AI assistants like Claude:
For technical details about the system architecture, see ARCHITECTURE.md.
Specifications
Requirements
- uv sync --all-extras
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
Install
uvx scicomp-math-mcpConfigure
{
"mcpServers": {
"math-mcp": {
"command": "uvx",
"args": ["scicomp-math-mcp"]
},
"quantum-mcp": {
"command": "uvx",
"args": ["scicomp-quantum-mcp"]
},
"molecular-mcp": {
"command": "uvx",
"args": ["scicomp-molecular-mcp"]
},
"neural-mcp": {
"command": "uvx",
"args": ["scicomp-neural-mcp"]
}
}
}Performance
Usage
Quick Reference
- Name
- Github Andylbrummer Math Mcp
- Function
- GPU-accelerated MCP server: symbolic algebra, numerical computing, FFT, optimization, linear algebra
- Transport
- Package
- Language
- Python
- Install
- uvx scicomp-math-mcp
- Source
- External (Registry)
- License
- Open Source
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