Other · Local MCP server
VMware Private AI (GPU & Model Serving)
VMware Private AI (NVIDIA): GPU inventory, vGPU profiles, utilization, model serving — 17 tools.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.vmware-skills/vmware-privateai- Version
- 1.4.0
- Status
- Active
- Category
- other
- Transport
- stdio (local process)
- Package
- PyPI
- Published
- 2026-09-20
- Updated
- 2026-09-20
- Publisher
- vmware-skills (GitHub) · 14 servers with pages here
- Repository
- github.com/vmware-skills/VMware-PrivateAI
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | vmware-privateai | 1.4.0 | stdio |
How to connect VMware Private AI (GPU & Model Serving)
VMware Private AI (GPU & Model Serving) runs locally from a Python package published to PyPI: vmware-privateai version 1.4.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx vmware-privateai.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"vmware-privateai": {
"command": "uvx",
"args": [
"vmware-privateai"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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