# MoziChem

> Use this tool when you need to perform complex thermodynamic calculations and chemical process modeling for process design, optimization, and analysis. MoziChem provides thermodynamic and chemical engineering calculations through equation of state models and flash calculations, solving problems in process simulation and research. It takes in chemical engineering inputs and outputs rigorous thermodynamic computations, ideal for use in chemical engineering, process simulation, and research workflows.

Canonical page: https://skillsregistry.net/skills/sinagilassi-mozichem  
JSON: https://api.skillsregistry.net/v1/skills/sinagilassi-mozichem

## Description

MoziChem MCP provides thermodynamic and chemical engineering calculations through integration with the MoziChem framework, offering two specialized servers for equation of state (EOS) models and flash calculations. Built by Sina Gilassi, this implementation leverages the mozichem-hub library to deliver prebuilt MCP servers that handle complex thermodynamic computations, phase equilibrium calculations, and chemical process modeling. The servers run via stdio transport and are designed for chemical engineers, process simulators, and researchers who need AI assistants capable of performing rigorous thermodynamic calculations for process design, optimization, and analysis workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sinagilassi-mozichem)
- **Repository:** <https://github.com/sinagilassi/mozichem-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sinagilassi-mozichem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sinagilassi-mozichem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sinagilassi-mozichem/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt