About Openmm MCP Server
Openmm MCP Server is an MCP server published by PhelanShao in the Productivity category: openMM, an open-source platform for molecular dynamics (MD) simulations, is supported by an MCP server that offers a structured communication interface for task submission, management, and execution. It has been installed 0 times through Conduid.
The repository has 32 stars and 10 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
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npx openmm-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
OpenMM MCP Server
🧬 OpenMM & Abacus MCP Server
A comprehensive Model Context Protocol (MCP) server for molecular dynamics simulations using OpenMM and DFT calculations with Abacus. This server provides a natural language interface for complex molecular simulations through LLM integration.
✨ Features
- Complete OpenMM Integration: Support for all OpenMM features including advanced integrators, barostats, and constraints
- DFT Calculations: Abacus DFT engine integration for quantum mechanical calculations
- Pre-configured Templates: Ready-to-use setups for protein simulations, membrane systems, and more
- Advanced Sampling: Metadynamics, free energy calculations, and enhanced sampling methods
- GPU Acceleration: CUDA and OpenCL platform support for high-performance computing
- Task Management: Asynchronous task execution with persistence and monitoring
- Natural Language Interface: Interact with complex simulations using simple English commands
🚀 Quick Start
Installation
# Clone the repository
git clone <repository_url>
cd openmm-mcp-server
# Install dependencies
pip install -r requirements.txt
# Optional: Install OpenMM for actual simulations
conda install -c conda-forge openmm
# Test installation
python test_mcp_server.py
Roo Code Integration
Add to your Code/Cline/Claude MCP settings:
{
"mcpServers": {
"openmm-server": {
"command": "python",
"args": ["run_openmm_server.py"],
"cwd": "path-to\\openmm-mcp-server",
"alwaysAllow": [
"create_md_simulation",
"create_advanced_md_simulation",
"setup_protein_simulation",
"setup_membrane_simulation",
"create_dft_calculation",
"control_simulation",
"get_task_status",
"list_all_tasks",
"analyze_results"
]
}
}
}
Important: Replace the path with your actual project path!
🛠️ Available Tools
Basic Tools
create_md_simulation- Create simple MD simulationscreate_dft_calculation- Create DFT calculationscontrol_simulation- Control simulation execution (start/stop/pause)get_task_status- Check task statuslist_all_tasks- List all tasksanalyze_results- Analyze simulation results
Advanced Tools
create_advanced_md_simulation- Full OpenMM feature support (50+ parameters)setup_protein_simulation- Pre-configured protein simulation templatessetup_membrane_simulation- Membrane protein simulation setup
💬 Usage Examples
Simple Water Simulation
"Run a molecular dynamics simulation of a water molecule at 300K for 10000 steps"
Advanced Protein Simulation
"Set up a protein production simulation for 100 nanoseconds at physiological temperature 310K, using Amber19 force field with TIP3P-FB water model, 0.15M salt concentration, and GPU acceleration"
Membrane Protein Simulation
"Create a POPC membrane protein simulation for 50 nanoseconds with surface tension control"
📊 OpenMM Parameters Reference
Integrators
LangevinMiddle- Langevin middle integrator (recommended)Verlet- Verlet integrator (NVE ensemble)Brownian- Brownian dynamicsVariableLangevin- Variable step size LangevinVariableVerlet- Variable step size VerletNoseHoover- Nose-Hoover thermostat
Force Fields
- Amber14:
["amber14-all.xml", "amber14/tip3pfb.xml"] - Amber19:
["amber19-all.xml", "amber19/tip3pfb.xml"] - CHARMM36:
["charmm36_2024.xml", "charmm36/water.xml"]
Water Models
tip3p- TIP3P water modeltip3pfb- TIP3P-FB water model (recommended)tip4pew- TIP4P-Ew water modelspce- SPC/E water model
Platforms
CUDA- NVIDIA GPU (fastest)OpenCL- General GPUCPU- CPU computationReference- Reference implementation
Nonbonded Methods
PME- Particle Mesh Ewald (recommended for periodic systems)NoCutoff- No cutoff (small systems)CutoffNonPeriodic- Non-periodic cutoffCutoffPeriodic- Periodic cutoffEwald- Traditional Ewald summation
Constraints
None- No constraintsHBonds- Hydrogen bond constraints (recommended)AllBonds- All bond constraintsHAngles- Hydrogen angle constraints
Barostats
MonteCarloBarostat- Isotropic pressure controlMonteCarloAnisotropicBarostat- Anisotropic pressure controlMonteCarloMembraneBarostat- Membrane system pressure control
Precision
mixed- Mixed precision (recommended)single- Single precisiondouble- Double precision
🔧 Configuration
Environment variables:
export TASK_DATA_DIR="./simulation_data"
export MAX_CONCURRENT_TASKS=4
export DEFAULT_OPENMM_PLATFORM="CUDA"
export LOG_LEVEL="INFO"
export LOG_FILE="./mcp_server.log"
📁 Project Structure
openmm-mcp-server/
├── run_openmm_server.py # Startup script
├── test_mcp_server.py # Test script
├── requirements.txt # Dependencies
├── README.md # English documentation
├── README_CN.md # Chinese documentation
├── src/
│ ├── server_new.py # Main server
│ ├── advanced_md_tools.py # Advanced MD tools
│ ├── task_manager.py # Task management
│ ├── openmm_engine.py # OpenMM engine
│ ├── abacus_engine.py # Abacus DFT engine
│ ├── config.py # Configuration management
│ ├── tools/ # MCP tool implementations
│ ├── resources/ # MCP resource implementations
│ └── utils/ # Utility functions
├── tests/ # Test files
├── examples/ # Example code
├── docs/ # Documentation
└── task_data/ # Task data directory (auto-created)
📚 Additional Documentation
- Installation Guide - Detailed installation instructions
- Usage Guide - Comprehensive usage examples
- Roo Code Integration - Detailed integration guide
- OpenMM Parameters - Complete parameter reference
- Project Analysis - Technical analysis and improvements
🔍 Troubleshooting
Common Issues
-
"OpenMM not found" warning
- This is normal, server will run in mock mode
- For actual simulations, install OpenMM:
conda install -c conda-forge openmm
-
"command not found" error
- Check if Python is in PATH
- Verify project path is correct
- Try using absolute paths
-
Permission errors
- Ensure read/write permissions for project directory
- Check if task_data directory is writable
Verify Configuration
# Test server startup
python run_openmm_server.py
# Test MCP functionality
python test_mcp_server.py
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests
- Submit a pull request
🆘 Support
If you encounter any issues:
- Run the test script:
python test_mcp_server.py - Review the documentation
- Check log files (if configured)
- Submit an issue on GitHub
📄 License
This project is licensed under the GNU General Public License v3.0.
Happy simulating! 🎉
README mirrored from the source repository 3 months ago. The original is authoritative.