Provides computational chemistry tools for LLMs, enabling molecular operations like SMILES processing and geometry manipulation via a modular agent and tool system.
An MCP server for quantum chemistry that enables LLMs to perform electronic structure analysis, parse calculation outputs, and generate 3D orbital visualizations. It integrates tools like PySCF, cclib, and py3Dmol to facilitate molecular structure manipulation and bonding analysis through natural language.
Enables first-principles calculations (SCF, structure optimization, molecular dynamics, etc.) for quantum chemistry and materials science using ABACUS, with intelligent parameter suggestions and result analysis through natural language.
ChemMCP is an easy-to-use and extensible chemistry toolkit for LLMs and AI assistants, enabling molecular analysis, property prediction, and reaction synthesis tasks without domain-specific training.
Enables AI-driven first-principles calculations for quantum chemistry and materials science using ABACUS, with tools for SCF, structure optimization, molecular dynamics, band structure, and intelligent parameter suggestions.
An MCP server that gives LLMs native access to cheminformatics and molecular ML tools, enabling molecular structure manipulation, descriptor calculation, ML model training, and analysis report generation through natural conversation.