Enables natural language interaction with computational chemistry tools including molecule building, electronic structure calculations, geometry optimization, vibrational spectroscopy, and molecular dynamics, powered by RDKit, PySCF, and ASE.
An MCP server for chemistry-focused tools, enabling LLM agents to perform molecule parsing, format conversion, property lookup, and other chemistry operations with explainable responses.
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.
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 building, running, and optimizing cheminformatics pipelines via composable blocks, with an MCP agent interface for natural language interaction.
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.
