Use natural language to run computational chemistry modeling and analysis tasks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ypotheto-compchem-mcp" yet — see the docs or source repo.
Build an ethanol molecule, run geometry optimization, and return the key results of the optimized structure.
Returns the built molecule, geometry optimization results, and a brief description of the optimized structure.
Run an electronic structure calculation for this molecule and summarize the key results.
Provides electronic structure results along with a concise summary.
Perform vibrational spectroscopy analysis for this molecule and explain the main vibrational features.
Returns vibrational spectroscopy results and a short explanation of the main features.
Researchers or students can use plain language to start molecule building, geometry optimization, and electronic structure calculations, reducing the need for command-line or scripting expertise.
When users need an initial view of a molecule’s structure, vibrational features, or dynamical behavior, this tool provides a single natural-language interface to those calculations.
It is an MCP tool that connects natural-language requests to computational chemistry capabilities, including molecule building, electronic structure calculations, geometry optimization, vibrational spectroscopy, and molecular dynamics.
The provided description says it is powered by RDKit, PySCF, and ASE. For detailed installation and configuration steps, see the source repository.
The available material does not specify whether an API key is needed or list the full runtime requirements. Please check the source repository for exact prerequisites.
Use natural language to analyze molecules and run cheminformatics ML workflows.
Expose chemical engineering calculations for AI-driven analysis and application integration.
Interactively run and steer FAIRChem and ASE simulations with live monitoring.
Run computational chemistry and drug discovery workflows with Schrödinger Suites automation.
Perform explainable chemistry tasks like molecule parsing, conversion, and property lookup.
Query computed materials structures and thermodynamic properties for research and screening.