# vCFD

> vCFD — gpu7-vcfd. Use this tool when you need to streamline computational fluid dynamics (CFD) workflows using natural language inputs. vCFD solves the problem of complex simulation setup and analysis by enabling voice-driven execution and analysis of OpenFOAM simulations, with outputs exportable to ParaView for visualization. It takes voice commands as input and produces simulation results and visualizations as output, ideal for users seeking to simplify their CFD workflow.

Canonical page: https://skillsregistry.net/skills/gpu7-vcfd  
JSON: https://api.skillsregistry.net/v1/skills/gpu7-vcfd

## Description

Voice-driven CFD MCP server that enables natural language setup, execution, and analysis of OpenFOAM simulations, with results exportable to ParaView.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **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/otk2ehqgc0)
- **Repository:** <https://github.com/gpu7/vCFD>

## 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": "gpu7-vcfd"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gpu7-vcfd` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gpu7-vcfd/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