# Ansys CFX-MCP

> Ansys CFX-MCP — ansys-pycfx-mcp. Use this tool when you need to streamline computational fluid dynamics (CFD) workflows with natural-language-assisted interactions. It solves problems related to setup, execution, and postprocessing of CFX simulations by providing a server-based interface for AI assistants to interact with Ansys CFX through PyCFX. This enables efficient automation of CFD tasks, taking in natural-language inputs and producing simulation results and visualizations as outputs.

Canonical page: https://skillsregistry.net/skills/ansys-pycfx-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ansys-pycfx-mcp

## Description

An MCP server that enables AI assistants to interact with Ansys CFX through PyCFX, supporting natural-language-assisted CFX-Pre, CFX Solver, and CFD-Post workflows for setup, execution, and postprocessing.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dkq0vvz8b4)
- **Repository:** <https://github.com/ansys/pycfx-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": "ansys-pycfx-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ansys-pycfx-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ansys-pycfx-mcp/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
