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viznoir MCP server

by kimimgo·io.github.kimimgo/viznoir·v0.10.1·19 stars
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Cinema-quality science visualization for AI agents — headless VTK via MCP.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

19 stars27 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

viznoir tools (23, 8 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • analyze_data

    [DEPRECATED — use inspect_physics instead] Analyze VTK/simulation data.

  • animatewrite action

    Create an animation from time series data or camera orbit.

  • auto_postprocess

    Autonomous post-processing: inspect → visualize → evaluate → refine.

  • batch_render

    Render multiple fields from the same dataset in one call.

  • cinematic_render

    Cinematic-quality rendering with auto-framing, 3-point lighting, SSAO, and PBR.

  • clipwrite action

    Create a clipped visualization.

  • compare

    Compare two simulation results side-by-side or as a difference map.

  • compose_assets

    Compose multiple assets into a deliverable format.

  • contourwrite action

    Create an iso-surface (contour) visualization.

  • execute_pipelinewrite action

    Execute a custom pipeline definition (advanced).

  • extract_stats

    Extract statistical summary (min/max/mean/std) for fields.

  • inspect_data

    Inspect a simulation file and return metadata.

  • inspect_physics

    Extract structured physics data for AI storytelling.

  • integrate_surface

    Integrate a field over a surface to compute forces, areas, or fluxes.

  • plot_over_line

    Sample field values along a line between two points.

  • preview_3d

    Export dataset to glTF/glB for interactive 3D viewing in a browser.

  • probe_timeseries

    Sample a field value at a fixed point across timesteps.

  • pv_isosurfacewrite action

    Run DualSPHysics IsoSurface to generate VTK surface mesh files.

  • render

    Render a field visualization and return a PNG screenshot.

  • slicewrite action

    Create a slice (cut plane) visualization.

  • split_animatewrite action

    Create a split-pane synchronized animation with multiple views.

  • streamlineswrite action

    Create a streamline visualization for vector fields.

  • volume_render

    Volume render 3D data (CT, MRI, CFD fields) with transfer function presets.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan89 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 6 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How viznoir compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 95% of 48,255 servers
Tools
23
the typical server has 7
Tools that change things
35%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
19
more than 91% of 28,688 servers
Downloads a week
27
more than 14% of 12,191 servers with a package

What its tools let an agent do: 15 read · 7 change · 1 run or deploy

Install viznoir in Claude Code, Cursor or VS Code

claude mcp add viznoir -- uvx viznoir
Add to Cursor

What the publisher says

From the viznoir repository's README, as published. We do not edit it. Read it on GitHub

viznoir

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

<!-- mcp-name: io.github.kimimgo/viznoir -->

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

1. Install

pip install viznoir

# With optional extras
pip install "viznoir[mesh]"       # meshio + trimesh (50+ formats)
pip install "viznoir[composite]"  # Pillow + matplotlib (split_animate)
pip install "viznoir[all]"        # everything

Requires Python ≥3.10. VTK wheel auto-installed (EGL headless rendering supported).

2. Verify

mcp-server-viznoir --help    # server entry point
python -c "import viznoir; print(viznoir.__version__)"

3. Use with an MCP client

Add to your MCP client config (claudedesktopconfig.json, ~/.cursor/mcp.json, etc.):

{
  "mcpServers": {
    "viznoir": {
      "command": "mcp-server-viznoir",
      "env": {
        "VIZNOIR_DATA_DIR": "/path/to/your/simulation/data",
        "VIZNOIR_OUTPUT_DIR": "/path/to/output"
      }
    }
  }
}

Then ask your AI agent:

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

4. Or use as a Python library (advanced)

All tool implementations are importable as async functions. You provide a VTKRunner and await the result:

import asyncio
from viznoir.core.runner import VTKRunner
from viznoir.tools.inspect import inspect_data_impl
from viznoir.tools.render import render_impl

async def main():
    runner = VTKRunner()

    meta = await inspect_data_impl(file_path="cavity.foam", runner=runner)
    print(meta["fields"], meta["timesteps"])

    result = await render_impl(
        file_path="cavity.foam",
        field_name="p",
        runner=runner,
        colormap="Cool to Warm",
        camera="isometric",
        width=1920, height=1080,
        output_filename="pressure.png",
    )
    print(result.file_path)

asyncio.run(main())

See docs for the full tool reference.

Capabilities

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

Showcase — 10 Domains, One Pipeline

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

viznoir: common questions

Is viznoir MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the viznoir safety report
How do I install viznoir?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does viznoir need an API key?
No secret keys are declared. It reads 2 settings from the environment.
Is viznoir maintained?
The last commit was 44 days ago (2026-09-21). The latest release is v0.10.1.
How does viznoir compare with other MCP servers?
safety score 92/100 (higher than 95% of 48,255 servers); tools 23 (the typical server has 7); tools that change things 35% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.