viznoir runs on your own machine — the client starts it, so there is no endpoint to ping. 47 installs a week from pypi. Last commit 21 Jun 2026.
Cinema-quality science visualization for AI agents — headless VTK via MCP.
We read the source, 21 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
with subprocess.Popen(
path = os.path.join(output_dir, f"frame_{i:04d}.png")
exec(compiled, {"__name__": "__main__"}) # noqa: S102
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add viznoir -- uvx viznoir
{
"mcpServers": {
"viznoir": {
"args": [
"viznoir"
],
"command": "uvx"
}
}
}
[mcp_servers.viznoir]
command = "uvx"
args = ["viznoir"]
{
"mcpServers": {
"viznoir": {
"args": [
"viznoir"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"viznoir": {
"args": [
"viznoir"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
VIZNOIR_RENDER_BACKEND (Rendering backend: gpu, cpu, or auto), VIZNOIR_OUTPUT_DIR (Output directory for rendered images).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.