A specialized MCP server for Metal-Organic Framework research that provides tools for database searching, structural optimization, and energy calculations via ASE. It enables scientific workflows by allowing users to interact with MOF data and perform chemical simulations through a standard SSE interface.
An MCP server for discovering ColabFit materials science datasets and training MACE interatomic potentials on local hardware, enabling AI assistants to search, download, train, and validate models.
An MCP server for computational materials science that enables AI assistants to generate LAMMPS simulations, parse outputs, analyze nematic order, detect plastic rearrangements, and estimate viscosity through 12 specialized tools.
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.
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.
A Model Context Protocol server that enables AI assistants to interact with LAMMPS for molecular dynamics simulations through natural language commands.