# PyThermoCalcDB-NASA-MCP

> PyThermoCalcDB-NASA-MCP — sinagilassi-pythermocalcdb-nasa-mcp. Use this tool when you need to calculate thermodynamic properties or reaction equilibrium, and you have access to NASA-9 polynomial data. It solves problems related to thermodynamic analysis, such as determining enthalpy, entropy, or Gibbs free energy, through a natural language or MCP-compatible interface. This tool is ideal for use in contexts where accurate thermodynamic calculations are crucial, such as chemical engineering or materials science applications.

Canonical page: https://skillsregistry.net/skills/sinagilassi-pythermocalcdb-nasa-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sinagilassi-pythermocalcdb-nasa-mcp

## Description

Enables thermodynamic property calculations (H, S, G, Cp, reaction equilibrium) using NASA-9 polynomial data through natural language or MCP-compatible clients.

## 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/bwajkqerey)
- **Repository:** <https://github.com/sinagilassi/PyThermoCalcDB-NASA-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-pythermocalcdb-nasa-mcp"
    }
  }
}
```

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

---
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
