geant4-simulation
Enables GEANT4 particle physics simulations via Claude Desktop, allowing configuration of particle type, energy, detector material, and running simulations through natural language.
README
GEANT4 Simulation with MCP Server
A complete GEANT4 particle physics simulation system using Python bindings, integrated with Claude Desktop via Model Context Protocol (MCP) server. Fully containerized with Docker for easy deployment on macOS, Windows, and Linux.
Ready to Use: Clone this repo and run with Docker - no manual GEANT4 installation required!
Features
- GEANT4 Python Simulation: Full particle physics simulation using GEANT4 Python bindings
- Configurable Parameters:
- Particle type (gamma, e-, e+, proton, neutron, etc.)
- Particle energy (MeV)
- Cubic detector dimensions (configurable X, Y, Z)
- Detector material (various GEANT4 materials)
- MCP Server Integration: Control simulations directly from Claude Desktop
- Docker Container: Complete isolated environment with all dependencies
- JSON Output: Easy-to-parse simulation results
- ROOT File Support: Output data in ROOT TTree format for advanced analysis
- Plotting Tools: Generate physics plots directly from Claude Desktop
- Cross-Platform: Works on macOS, Windows (WSL2), and Linux
What Users Get
After cloning this repository, users can:
-
Build and run in 3 commands:
git clone https://github.com/abhich2507/geant4-mcp.git cd geant4-mcp docker-compose up -d -
Control from Claude Desktop - Configure and run simulations through natural language
-
No GEANT4 installation needed - Everything is containerized
-
Complete working example - Default configuration runs out of the box
Quick Start
Prerequisites
- macOS/Linux: Docker Desktop installed
- Windows: Docker Desktop with WSL2 enabled
- Claude Desktop application
- 10+ GB disk space
- 8+ GB RAM recommended
1. Build and Start Docker Container
macOS/Linux:
# Build the Docker image (this will take 30-60 minutes for GEANT4)
docker-compose build
# Start the container
docker-compose up -d
Windows (PowerShell or Command Prompt):
# Build the Docker image (this will take 30-60 minutes for GEANT4)
docker-compose build
# Start the container
docker-compose up -d
Note for Windows: Make sure Docker Desktop is running and WSL2 integration is enabled in Settings → Resources → WSL Integration.
2. Configure Claude Desktop
Add the following to your Claude Desktop configuration file:
macOS:
Location: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"geant4-simulation": {
"command": "docker",
"args": [
"exec",
"-i",
"geant4-simulation",
"python3",
"/workspace/mcp_server.py"
],
"env": {
"PYTHONPATH": "/opt/geant4/lib"
}
}
}
}
Windows:
Location: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"geant4-simulation": {
"command": "docker",
"args": [
"exec",
"-i",
"geant4-simulation",
"python3",
"/workspace/mcp_server.py"
],
"env": {
"PYTHONPATH": "/opt/geant4/lib"
}
}
}
}
Windows Tip: You can open this location by typing
%APPDATA%\Claudein Windows Explorer address bar or by running:notepad "$env:APPDATA\Claude\claude_desktop_config.json"
Linux:
Location: ~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"geant4-simulation": {
"command": "docker",
"args": [
"exec",
"-i",
"geant4-simulation",
"python3",
"/workspace/mcp_server.py"
],
"env": {
"PYTHONPATH": "/opt/geant4/lib"
}
}
}
}
3. Restart Claude Desktop
macOS:
pkill -9 "Claude" && open -a "Claude"
Windows:
- Close Claude Desktop completely (check system tray)
- Reopen from Start Menu
Linux:
killall claude && claude &
4. Use from Claude Desktop
You can now control the simulation from Claude Desktop:
Configure a simulation with:
- 1 MeV gamma particles
- 20x20x20 cm water cube
- Run 1000 events
Manual Usage (Without Claude Desktop)
Run Simulation Directly
macOS/Linux:
# Enter the container
docker exec -it geant4-simulation bash
# Run with default configuration
python3 simulation.py
# Run with custom configuration
python3 simulation.py config.json
Windows (PowerShell):
# Enter the container
docker exec -it geant4-simulation bash
# Run with default configuration
python3 simulation.py
# Run with custom configuration
python3 simulation.py config.json
Run MCP Server Standalone
docker exec -it geant4-simulation python3 mcp_server.py
Available MCP Tools
When using Claude Desktop, the following tools are available:
1. configure_simulation
Configure simulation parameters:
particle_type: Particle type (gamma, e-, e+, proton, etc.)particle_energy: Energy in MeVparticle_position: Initial position [x, y, z] in cmparticle_direction: Direction vector [x, y, z]cube_size_x/y/z: Detector dimensions in cmcube_material: Material (G4_WATER, G4_Al, G4_Pb, etc.)num_events: Number of events to simulate
2. run_simulation
Run the simulation with current configuration
3. get_simulation_status
Get current configuration and status
4. get_results
Retrieve detailed simulation results
5. save_configuration
Save current configuration to file
6. load_configuration
Load configuration from file
Configuration File Format
{
"particle": {
"type": "gamma",
"energy_MeV": 1.0,
"position_cm": [0.0, 0.0, -10.0],
"direction": [0.0, 0.0, 1.0]
},
"detector": {
"cube_size_x_cm": 10.0,
"cube_size_y_cm": 10.0,
"cube_size_z_cm": 10.0,
"material": "G4_WATER"
},
"simulation": {
"num_events": 100,
"output_file": "output/simulation_results.json"
}
}
Output Format
Results are saved in JSON format:
{
"config": { ... },
"results": [
{
"event_id": 0,
"primary": { ... },
"energy_deposited_MeV": 0.85,
"tracks_created": 5,
"interactions": 3
}
],
"summary": {
"total_events": 100,
"total_energy_deposited_MeV": 87.3,
"avg_energy_deposited_MeV": 0.873
}
}
Common Materials
G4_WATER: WaterG4_Al: AluminumG4_Pb: LeadG4_Fe: IronG4_Cu: CopperG4_AIR: AirG4_CONCRETE: ConcreteG4_TISSUE_SOFT_ICRP: Soft tissue
Common Particles
gamma: Photonse-: Electronse+: Positronsproton: Protonsneutron: Neutronsalpha: Alpha particlesmu-: Muons
Development
Project Structure
geant4-mcp/
├── simulation.py # Main GEANT4 simulation
├── mcp_server.py # MCP server for Claude Desktop
├── Dockerfile # Docker image definition
├── docker-compose.yml # Docker compose configuration
├── requirements.txt # Python dependencies
├── config.json # Default configuration
├── output/ # Simulation results
└── README.md # This file
Rebuilding After Changes
macOS/Linux:
# Rebuild container
docker-compose build
# Restart container
docker-compose restart
Windows (PowerShell):
# Rebuild container
docker-compose build
# Restart container
docker-compose restart
Viewing Logs
All Platforms:
# View MCP server logs
docker-compose logs -f
# View container logs
docker logs geant4-simulation
Troubleshooting
Container won't start
macOS/Linux:
docker-compose down
docker-compose up -d
docker-compose logs
Windows (PowerShell):
docker-compose down
docker-compose up -d
docker-compose logs
Claude Desktop doesn't see the server
- Check container is running:
docker ps - Verify configuration file location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
- macOS:
- Restart Claude Desktop completely
- Check MCP server logs in Claude Desktop Developer Tools
Windows-Specific Issues
Docker not found
- Ensure Docker Desktop is installed and running
- Check that Docker Desktop is set to start on login
- Verify WSL2 is enabled:
wsl --statusin PowerShell
WSL2 Integration Issues
- Open Docker Desktop Settings
- Go to Resources → WSL Integration
- Enable integration with your WSL2 distro
- Click "Apply & Restart"
Permission Denied Errors
- Run PowerShell/Command Prompt as Administrator
- Ensure your user is in the
docker-usersgroup
Path Issues in Windows
If you see path-related errors, ensure you're using forward slashes in Docker commands or let Docker handle the path conversion automatically.
Python import errors
The GEANT4 Python bindings may take a long time to compile. Wait for the initial build to complete.
Performance Notes
- First Build: 30-60 minutes (GEANT4 compilation)
- Container Start: ~10 seconds
- Simulation Speed: ~100-1000 events/second (depends on complexity)
- Windows Note: Performance with WSL2 is comparable to native Linux. If using Hyper-V backend, expect 10-20% slower compilation times.
Platform-Specific Notes
macOS
- Apple Silicon (M1/M2/M3): Docker runs via Rosetta 2 translation layer. First build may take longer.
- Intel Macs: Native x86_64 performance.
- Configuration location:
~/Library/Application Support/Claude/claude_desktop_config.json
Windows
- Requires: Windows 10/11 with WSL2 enabled
- Docker Backend: WSL2 backend recommended (not Hyper-V)
- File Performance: Keep project files in WSL2 filesystem for better performance
- Configuration location:
%APPDATA%\Claude\claude_desktop_config.json - To access WSL filesystem:
\\wsl$\Ubuntu\home\<username>\
Linux
- Native Performance: Best performance on native Linux
- Docker: Requires
dockeranddocker-composeinstalled - Configuration location:
~/.config/Claude/claude_desktop_config.json
Requirements
All Platforms
- Claude Desktop application
- 10+ GB disk space
- 8+ GB RAM recommended
macOS
- macOS 11+ (Big Sur or later)
- Docker Desktop for Mac
Windows
- Windows 10/11 (64-bit)
- WSL2 enabled
- Docker Desktop for Windows
- Ubuntu WSL2 distro (recommended)
Linux
- Modern Linux distribution (Ubuntu 20.04+, Fedora 35+, etc.)
- Docker Engine or Docker Desktop
- docker-compose
Installation Guides
Windows Setup from Scratch
-
Enable WSL2:
# Run in PowerShell as Administrator wsl --install # Restart computer -
Install Ubuntu on WSL2:
wsl --install -d Ubuntu # Set up username and password when prompted -
Install Docker Desktop:
- Download from: https://www.docker.com/products/docker-desktop
- Install and enable WSL2 integration
- Go to Settings → Resources → WSL Integration
- Enable integration with Ubuntu
-
Clone project in WSL2:
# Open Ubuntu terminal cd ~ git clone <repository-url> cd geant4-mcp -
Continue with Quick Start section above
macOS Setup from Scratch
-
Install Homebrew (if not already installed):
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" -
Install Docker Desktop:
brew install --cask docker # Or download from: https://www.docker.com/products/docker-desktop -
Open Docker Desktop and complete setup
-
Continue with Quick Start section above
Linux Setup from Scratch
-
Install Docker (Ubuntu/Debian):
sudo apt-get update sudo apt-get install docker.io docker-compose sudo systemctl start docker sudo systemctl enable docker sudo usermod -aG docker $USER # Log out and back in for group changes to take effect -
For other distros, see: https://docs.docker.com/engine/install/
-
Continue with Quick Start section above
What Users Need
Users only need to have installed:
- Git (to clone the repository)
- Docker Desktop (for their platform)
- Claude Desktop (to use the MCP integration)
Everything else is handled automatically by Docker!
Repository Setup
If you haven't pushed to GitHub yet:
# Initialize git (if needed)
git init
# Add all files
git add .
# Commit
git commit -m "Initial commit: GEANT4 simulation with MCP server"
# Add your GitHub repository as remote
git remote add origin https://github.com/<your-username>/geant4-mcp.git
# Push to GitHub
git branch -M main
git push -u origin main
Recommended GitHub Settings
-
Add Topics/Tags:
geant4particle-physicssimulationmcp-serverdockerclaude-desktoppython
-
Add Description:
"GEANT4 particle physics simulation with MCP server integration for Claude Desktop. Fully containerized with Docker."
-
Enable Issues - So users can report problems or ask questions
-
Add GitHub Actions (optional) - For automated Docker builds
License
This project is licensed under the MIT License - see the LICENSE file for details.
This software uses GEANT4, which is distributed under the Geant4 Software License.
Contributing
Contributions are welcome! Please see CONTRIBUTING.md for guidelines.
Citation
If you use this software in your research, please cite:
@software{geant4_mcp_2025,
title={GEANT4 Simulation with MCP Server},
author={Your Name},
year={2025},
url={https://github.com/<your-username>/geant4-mcp}
}
Acknowledgments
- GEANT4 Collaboration for the particle physics simulation toolkit
- Anthropic for Claude Desktop and MCP protocol
- CERN ROOT for data analysis framework
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