VMware Private AI (GPU & Model Serving) runs on your own machine — the client starts it, so there is no endpoint to ping. 294 installs a week from pypi. Last commit 31 Oct 2026.
VMware Private AI (NVIDIA): GPU inventory, vGPU profiles, utilization, model serving — 18 tools
Today is the operative word: we check VMware Private AI (GPU & Model Serving) every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 vmware-privateai -- uvx vmware-privateai
{
"mcpServers": {
"vmware-privateai": {
"command": "uvx",
"args": [
"vmware-privateai"
]
}
}
}
[mcp_servers.vmware-privateai]
command = "uvx"
args = ["vmware-privateai"]
{
"mcpServers": {
"vmware-privateai": {
"command": "uvx",
"args": [
"vmware-privateai"
]
}
}
}
{
"servers": {
"vmware-privateai": {
"type": "stdio",
"command": "uvx",
"args": [
"vmware-privateai"
]
}
}
}
NVIDIA GPU metrics as MCP tools — utilization, memory, temperature, power. Supports MIG.
MCP server for GPU monitoring: nvidia-smi, VRAM, utilization, temperature
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Answers built from our own checks of this server.