# CoolpropMCP

> CoolpropMCP — jerrymansikkaviita-coolpropmcp. Use this tool when you need to calculate thermodynamic and transport properties of various fluids, including refrigerants, to solve problems in fields like engineering, chemistry, and materials science. It accepts natural language queries as input and returns relevant properties, such as state points, saturation, and fluid information, as output. Ideal for use cases where fluid property data is required, such as designing heating and cooling systems or modeling chemical reactions.

Canonical page: https://skillsregistry.net/skills/jerrymansikkaviita-coolpropmcp  
JSON: https://api.skillsregistry.net/v1/skills/jerrymansikkaviita-coolpropmcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e8kkubi681)
- **Repository:** <https://github.com/JerryMansikkaviita/CoolpropMCP>

## 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": "jerrymansikkaviita-coolpropmcp"
    }
  }
}
```

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