MCP server exposing thermodynamic and transport properties of refrigerants and ~130 other fluids via CoolProp, enabling queries of state points, saturation, fluid info, and humid air properties through natural language.
A modular Python toolkit exposing chemical engineering calculations (thermodynamics, flash equilibria, property databases) as MCP servers for AI and application integration.
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.
This MCP server enables AI clients to calculate the boiling temperature of water at a given absolute pressure using the IAPWS-IF97 standard, separating natural-language reasoning from authoritative scientific computation.
Enables AI assistants to perform complex chemical engineering calculations including thermodynamic modeling, equation of state calculations, phase equilibrium computations, and vapor-liquid equilibrium analysis. Built on the MoziChem framework to bridge AI language models with specialized chemical engineering tools.
