PyCFX-MCP (Ansys CFX-MCP)
MCP serverOfficial · Pre-1.0
Ansys's own MCP server for CFX: drives CFX-Pre, CFX Solver and CFD-Post sessions through PyCFX with seven compact tools. By Ansys (Synopsys).
3 starsUpdated 1 day agoGitHub data from 5 Nov 2026
At a glance
- Type
- MCP server
- Works with
- Ansys Fluent / CFX
- How it connects
- Drives a running copy of the tool
- Access
- Can modify models
- Tool versions
- Any licensed Ansys CFX install that PyCFX (ansys-cfx-core) supports; not stated in the README
- Operating systems
- Not stated in its documentation
- Needs a Ansys Fluent / CFX licence
- Yes
- Transport
- Local (stdio), Remote (HTTP)
- AI clients documented
- VS Code (GitHub Copilot), Claude Desktop, Cursor
- Licence
- Apache-2.0
- Language
- Python
- Release status
- pre 1 0
What it can do
- Starts or attaches to CFX-Pre, CFX Solver and CFD-Post, and reports session status.
- Routes common setup, solve and post-processing actions through a single cfx_workflow tool.
- Returns bounded model context (summaries, named objects, API help, allowed values) instead of dumping a whole model into the chat.
- Validates and runs reviewed PyCFX snippets in a persistent context with guarded imports.
Limitations
- Version 0.2.0 on PyPI; still pre-1.0.
- Needs Python 3.12 to 3.14 and a licensed local CFX install for every live-session tool.
- The code sandbox is Python-level only, not an operating-system or container sandbox, and HTTP should only be used on trusted networks.
Install
pip install ansys-cfx-mcp
ansys-cfx-mcp --transport stdioSource: github.com/ansys/pycfx-mcp
ansys-cfx-mcp --transport http --host 127.0.0.1 --port 8000Source: github.com/ansys/pycfx-mcp
MCP servers and skills run code on your computer. Review the source before installing.
AI-generated models, drawings and results must be checked by a qualified engineer before use.