Welcome to the PyFluent-MCP documentation! PyFluent-MCP (ansys.fluent.mcp) is a
Model Context Protocol (MCP) server that provides seamless integration between AI
assistants and Ansys Fluent through PyFluent.
What do you want to do?
Discover what PyFluent-MCP is, how it works, and why you should use it. Learn about the Model Context Protocol and its benefits.
Install PyFluent-MCP and get your first MCP server running. Follow the quick start guide to begin using it.
Set up PyFluent-MCP with Claude Code, Visual Studio Code, or other MCP-compatible clients. Step-by-step configuration guides are included.
Discover all 22 MCP tools available for Fluent solver setup, settings inspection, code generation, and diagnostics.
Discover best practices for using PyFluent-MCP effectively, including session management, the discover-generate-validate-execute loop, and workflow design patterns.
Explore practical examples including solver setup workflows, custom domain tools, and offline API discovery.
Access complete API reference documentation for PyFluent-MCP.
Have questions or found a bug? Open an issue on the GitHub repository or consult the PyFluent documentation.
Contribute to PyFluent-MCP by answering questions, reporting bugs, writing code, or improving documentation. All contributions are welcomed!