mcpField
Q
quantum-mcp

quantum-mcp

Local
andylbrummer.github.ioScience & Education2Updated 26w ago

About quantum-mcp

quantum-mcp is an MCP server for quantum-mechanics simulations and wavefunction analysis. It serves scientific computing workflows that need 1D or 2D Schrödinger simulations, with optional CUDA acceleration.

Key features

  1. 011D and 2D Schrödinger simulations
  2. 02Lattice and custom potential creation
  3. 03Wave packet and plane wave generation
  4. 04Wavefunction observable analysis
  5. 05Potential plots and evolution videos
  6. 06Optional CUDA acceleration

Use cases

  1. 01Simulating particle and wave dynamics
  2. 02Exploring tunneling and interference
  3. 03Analyzing wavefunction observables

MCP support

Exposes quantum simulation, potential creation, wavefunction analysis, and visualization tools 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-quantum": {
"command": "uvx",
"args": [
"scicomp-quantum-mcp"
]
}
}
}
Run commanduvx scicomp-quantum-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-quantum-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-quantum-mcp

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

MCP server for wave mechanics and Schrödinger equation simulations.

Overview

This server provides tools for quantum mechanics simulations and wavefunction analysis:

  • Schrödinger solver - Time-dependent wave equation simulations in 1D and 2D
  • Potential creation - Crystalline lattices, custom potentials, harmonic oscillators
  • Wavefunction analysis - Observable computation, probability density, energy analysis
  • Wave packets - Gaussian wave packet creation and evolution
  • GPU acceleration - Optional CUDA acceleration for large simulations

Installation & Usage

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

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

# With GPU support
pip install scicomp-quantum-mcp[gpu]

# Run as command
scicomp-quantum-mcp

Available Tools

Potential Creation
  • create_lattice_potential - Crystalline lattice potentials (square, hexagonal, triangular)
  • create_custom_potential - Custom potential from mathematical function
  • create_gaussian_wavepacket - Localized Gaussian wave packets
  • create_plane_wave - Plane wave states
Simulation
  • solve_schrodinger - 1D time-dependent Schrödinger equation
  • solve_schrodinger_2d - 2D time-dependent Schrödinger equation
  • get_task_status - Monitor async simulations
  • get_simulation_result - Retrieve completed simulation data
Analysis
  • analyze_wavefunction - Compute observables from wavefunction
  • visualize_potential - Plot potential energy landscapes
  • render_video - Animate probability density evolution

Configuration

Enable GPU acceleration with environment variable:

MCP_USE_GPU=1 scicomp-quantum-mcp

Examples

🎬 Visual Demos

Spectacular animated demonstrations:

Run demos with Claude:

claude -p "Simulate double-slit interference" \
  --allowedTools "mcp__quantum-mcp__*"
📖 Code Examples

Practical tutorials in EXAMPLES.md:

  • Particle in a box dynamics
  • Double-slit interference patterns
  • Quantum tunneling
  • Crystal lattice scattering
📚 Full Documentation

See the API documentation for complete reference.

Part of Math-Physics-ML MCP System

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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.