Bridges ParaView's scientific visualization environment to LLM assistants by running a C++/Qt plugin inside ParaView itself, exposing a TCP socket that the Python MCP server connects to. The key tool is execute_paraview_code, which runs arbitrary Python in the active ParaView session, giving agents the same scripting access a human would have. You also get get_pipeline_info for inspecting the current visualization pipeline as JSON and get_screenshot to capture renders. Reach for this when you want an AI to automate complex ParaView workflows, generate visualizations from data programmatically, or interactively build and modify pipelines without clicking through menus. Requires ParaView 6.0.1 with the companion plugin loaded and listening on localhost:9877 by default.
claude mcp add --transport stdio io.github.failed33-paraview-mcp-server -- uvx paraview-mcp-server