Welcome to the PyCFX-MCP documentation! Use PyCFX-MCP, an MCP (Model Context Protocol) server, to connect your AI assistant to Ansys CFX workflows through PyCFX.
What do you want to do?
Learn what PyCFX-MCP is, how it works, when to use it, and how MCP clients interact with CFX through a compact tool surface.
Install PyCFX-MCP and run your first MCP server over STDIO or Streamable HTTP.
Set up PyCFX-MCP with Visual Studio Code or another MCP-compatible client.
Review tools for sessions, workflows, model context, code generation, validation, and execution.
Follow practical guidance for safe session management, routed workflow actions, and bounded model-context gathering.
Explore usage examples and learn how to implement custom MCP tools for CFX-oriented workflows.
Access complete API reference documentation for PyCFX-MCP.
Ask questions or report issues on the GitHub Issues page.
Contribute to PyCFX-MCP by reporting bugs, writing code, or improving the documentation.