A modular Python toolkit exposing chemical engineering calculations (thermodynamics, flash equilibria, property databases) as MCP servers for AI and application integration.
An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.
A collection of MCP servers for chemical engineering and chemistry applications, enabling AI assistants to perform thermodynamic calculations, equation of state modeling, and phase equilibrium computations.
MCP server that lets AI clients drive the dfxm-geo dark-field X-ray microscopy forward model, enabling config validation, reflection enumeration, and preview-scale simulations.
A Model Context Protocol (MCP) server that provides access to xraylib X-ray interaction data through a standardized interface. Query cross-sections, fluorescence lines, edge energies, and more from any MCP-compatible client.