Model Context Protocol (MCP) server for ANSYS CFX, built on PyCFX.
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# Ansys CFX-MCP [](https://docs.pyansys.com/) [](https://www.python.org/) [](https://opensource.org/licenses/Apache-2.0) Ansys CFX-MCP (`ansys-cfx-mcp`) is a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that enables AI assistants to interact with Ansys CFX through [PyCFX](https://pypi.org/project/ansys-cfx-core/). It enables natural-language-assisted CFX-Pre, CFX Solver, and CFD-Post workflows for setup, execution, and postprocessing. It is built on PyAnsys Common MCP ([ansys-common-mcp](https://github.com/ansys/pyansys-common-mcp)), the shared PyAnsys MCP foundation. This package is **self-contained** and works as a **standalone** server for any MCP host. It exposes a compact CFX-oriented tool surface so you can connect to CFX sessions, inspect bounded model context, validate and run reviewed PyCFX snippets, and coordinate common solver and CFD-Post actions. For quick-start, configuration, architecture, examples, and per-tool reference material, see the [PyCFX-MCP documentation](https://cfx-mcp.docs.pyansys.com). ## Overview Ansys CFX-MCP is a **stateless** MCP leaf. MCP clients such as Visual Studio Code Copilot, Claude Desktop, Cursor, or a custom automation host call a focused set of tools to drive live CFX-Pre, CFD-Post, and CFX Solver sessions. Custom Python runs through a validated, Python-level restricted execution path. This is not an operating-system or container sandbox. Key features: - **CFX session management**:…
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