VisualTorch runs on your own machine — the client starts it, so there is no endpoint to ping. 387 installs a week from pypi. Last commit 24 Aug 2026.
Render PyTorch architecture diagrams and animated GIF reveals from trusted model source.
We read the source, 20 h ago · rules 3dff92dd89df
A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.
model = eval(model_expression, namespace) # noqa: S307 - trusted source expression by design.
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.
process = subprocess.Popen( # noqa: S603 - fixed interpreter and module invocation.
model = eval(model_expression, namespace) # noqa: S307 - trusted source expression by design.
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.
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 visualtorch -- uvx visualtorch
{
"mcpServers": {
"visualtorch": {
"args": [
"visualtorch"
],
"command": "uvx"
}
}
}
[mcp_servers.visualtorch]
command = "uvx"
args = ["visualtorch"]
{
"mcpServers": {
"visualtorch": {
"args": [
"visualtorch"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"visualtorch": {
"args": [
"visualtorch"
],
"command": "uvx"
}
}
}
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