VisualSpec runs on your own machine — the client starts it, so there is no endpoint to ping. 130 installs a week from npm. Last commit 10 Sep 2026.
Structured, constraint-aware visual generation and deterministic layout for AI agents
We read the source, 20 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.
const finalImagePath = path.join(outputDir, imageFileName);
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 visualspec -- npx -y @utkarshx27/visualspec
{
"mcpServers": {
"visualspec": {
"args": [
"-y",
"@utkarshx27/visualspec"
],
"command": "npx"
}
}
}
[mcp_servers.visualspec]
command = "npx"
args = ["-y", "@utkarshx27/visualspec"]
{
"mcpServers": {
"visualspec": {
"args": [
"-y",
"@utkarshx27/visualspec"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"visualspec": {
"args": [
"-y",
"@utkarshx27/visualspec"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
OPENAI_API_KEY (Optional API key for OpenAI image generation), GEMINI_API_KEY (Optional API key for Google Gemini image generation).
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.