Model Context Protocol server for Rowan computational chemistry platform
Project description
Rowan MCP Server
MCP server for making it easy to run Rowan's molecular design and simulation tools.
Installation
Option 1: Auto-Install (No manual installation needed!)
Just add this to your MCP configuration and it will automatically install and run:
HTTP/SSE configuration:
{
"mcpServers": {
"rowan": {
"type": "http",
"url": "http://127.0.0.1:6276/sse"
}
}
}
Then start the server:
# Set your API key
export ROWAN_API_KEY="your_api_key_here"
# Start the HTTP server
uvx --from rowan-mcp rowan-mcp
Option 2: Manual Installation
If you prefer to install the package first:
Using uv:
uv add rowan-mcp
Using pip:
pip install rowan-mcp
Then configure and start:
{
"mcpServers": {
"rowan": {
"type": "http",
"url": "http://127.0.0.1:6276/sse"
}
}
}
# Set API key and start server
export ROWAN_API_KEY="your_api_key_here"
rowan-mcp
Get API Key
Visit labs.rowansci.com → Create account → Generate API key
Start Using
Ask your AI: "Calculate the pKa of aspirin" or "Optimize the geometry of caffeine"
What You Can Do
Ask the LLM to:
- Calculate drug properties: "Predict drug-likeness of aspirin"
- Optimize molecular structures: "Optimize the geometry of aspirin"
- Predict chemical behavior: "What's the pKa of acetic acid?"
- Run calculations: "Calculate the HOMO and LUMO of benzene"
System Requirements
- Python 3.11+
- Package manager: uv (recommended) or pip
- Rowan API key (free at labs.rowansci.com)
- MCP-compatible client (Claude Desktop, etc.)
Development commands (if you cloned the repo):
# Run from source
export ROWAN_API_KEY="your_api_key_here"
uv run python -m rowan_mcp
Available Tools
Total: 48 MCP Tools
- 28 Dedicated Workflow Functions (all workflows from Rowan v2.1.9)
- 1 Batch Workflow Function
- 3 Molecule Lookup Tools
- 10 Workflow Management Tools
- 6 Protein Management Tools
Chemistry Calculations
submit_basic_calculation_workflow- Energy, optimization, frequencies with multiple engines (omol25, xtb, psi4)submit_conformer_search_workflow- Conformational search with multiple search modes (rapid/careful/meticulous)submit_conformers_workflow- Conformer generation and enumeration (different from conformer_search)submit_multistage_opt_workflow- Multi-stage geometry optimization with sequential accuracy levelssubmit_scan_workflow- Molecular scans (dihedral, bond, angle) with wavefront propagationsubmit_irc_workflow- Intrinsic reaction coordinate calculations for transition states
Molecular Properties
submit_pka_workflow- Microscopic pKa calculations with customizable pH ranges and elementssubmit_macropka_workflow- Macroscopic pKa calculations across pH and charge rangessubmit_solubility_workflow- Solubility predictions across multiple solvents and temperaturessubmit_redox_potential_workflow- Electrochemical reduction/oxidation potentialssubmit_descriptors_workflow- ML-ready molecular descriptors and featuressubmit_tautomer_search_workflow- Tautomer enumerationsubmit_admet_workflow- ADME/Tox property predictions for drug discoverysubmit_hydrogen_bond_basicity_workflow- Hydrogen bond basicity (pKBHX) predictions
Reactivity Analysis
submit_fukui_workflow- Fukui indices for electrophilic/nucleophilic reactivity sites
Electronic Structure
submit_spin_states_workflow- Spin state energy calculations for different multiplicities
Spectroscopy & Analysis
submit_ion_mobility_workflow- Ion mobility mass spectrometry collision cross-section (CCS) predictionssubmit_strain_workflow- Molecular strain energy calculations for rings and cages
Transition States & Reactions
submit_double_ended_ts_search_workflow- Transition state search from reactant and product structuressubmit_pose_analysis_md_workflow- Molecular dynamics simulations on docked protein-ligand complexes
Protein & Drug Discovery
submit_docking_workflow- Protein-ligand docking with multiple executables (Vina, QVina2, Smina)submit_batch_docking_workflow- High-throughput docking for virtual screening campaignssubmit_protein_cofolding_workflow- Multi-protein and protein-ligand cofolding predictionssubmit_msa_workflow- Multiple sequence alignment for protein structure prediction
Batch Processing
batch_submit_workflow- Submit multiple molecules through any workflow type for high-throughput processing
Molecule Management
molecule_lookup- Convert molecule names, CAS numbers, IUPAC names to SMILESbatch_molecule_lookup- Bulk molecule name to SMILES conversionvalidate_smiles- Validate and standardize SMILES strings
Protein Management
create_protein_from_pdb_id- Create protein from PDB ID (e.g., '1HCK')retrieve_protein- Get protein data by UUIDlist_proteins- List all available proteinsupload_protein- Upload custom protein structuresdelete_protein- Remove protein from workspacesanitize_protein- Clean and validate protein structures
Workflow Management
workflow_get_status- Check workflow status with detailed progress informationworkflow_stop- Stop running workflowsworkflow_delete- Remove workflows from workspaceretrieve_workflow- Get complete workflow data and resultsretrieve_calculation_molecules- Extract molecular structures from calculationslist_workflows- List all workflows with filtering optionsworkflow_update- Modify workflow parametersworkflow_is_finished- Check if workflow is completeworkflow_delete_data- Remove workflow data while keeping metadataworkflow_fetch_latest- Get most recent workflow results
Requirements
- Python 3.11+
- Rowan API key
- MCP-compatible AI assistant (Claude Desktop, etc.)
Experimental: Desktop Extension (Work in Progress)
Working on a one-click desktop extension (.dxt) for Claude Desktop that eliminates command-line setup! This feature is currently being refined for compatibility with the MCP extension system.
For now, use the standard Package Installation method above, which is fully tested and reliable.
Getting Help
- Documentation: docs.rowansci.com
- or ping me!
Citation
If you use this MCP tool in your research, please cite the underlying Rowan platform:
Rowan Scientific. https://www.rowansci.com (accessed 2025-07-01).
For complete citation information including specific computational engines, methods, and workflows used in your calculations, please refer to Rowan's citation guidelines.
Publishing (Maintainer Notes)
To publish a new version to PyPI:
# Update version in pyproject.toml and rowan_mcp/__init__.py
# Build the package
uv build
# Publish to PyPI (requires API token)
uv publish
# Or publish to TestPyPI first
uv publish --index-url https://test.pypi.org/simple/
MCP inspector
# Start the server first
export ROWAN_API_KEY="your_api_key_here"
uv run python -m rowan_mcp &
# Then inspect
npx @modelcontextprotocol/inspector http://127.0.0.1:6276/sse
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