viznoir

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VTK is all you need. Cinema-quality science visualization for AI agents.

One prompt → physics analysis → cinematic renders → LaTeX equations → publication-ready story.

What it does

An MCP server that gives AI agents full access to VTK's rendering pipeline — no ParaView GUI, no Jupyter notebooks, no display server. Your agent reads simulation data, applies filters, renders cinema-quality images, and exports animations, all headless.

Works with: Claude Code · Cursor · Windsurf · Gemini CLI · any MCP client

Quick Start

pip install mcp-server-viznoir

Add to your MCP client config:

{
  "mcpServers": {
    "viznoir": {
      "command": "mcp-server-viznoir"
    }
  }
}

Then ask your AI agent:

"Open cavity.foam, render the pressure field with cinematic lighting, then create a physics decomposition story."

Capabilities

22 tools · 12 resources · 4 prompts · 50+ file formats (OpenFOAM, VTK, CGNS, Exodus, STL, glTF, …)

Architecture

  prompt                    "Render pressure from cavity.foam"
    │
  MCP Server                22 tools · 12 resources · 4 prompts
    │
  VTK Engine                readers → filters → renderer → camera
    │                       EGL/OSMesa headless · cinematic lighting
  Physics Layer             topology analysis · context parsing
    │                       vortex detection · stagnation points
  Animation                 7 physics presets · easing · timeline
    │                       transitions · compositor · video export
  Output                    PNG · WebP · MP4 · GLTF · LaTeX

Numbers

Documentation

Homepage: kimimgo.github.io/viznoir

Developer docs: kimimgo.github.io/viznoir/docs — full tool reference, domain gallery, architecture guide

License

MIT