VMware Private AI (GPU & Model Serving) MCP server

<!-- mcp-name: io.github.vmware-skills/vmware-privateai -->

VMware Private AI (Foundation with NVIDIA) — GPU & Model-Serving Ops

Disclaimer: This is a community-maintained open-source project and is **not affiliated with,

endorsed by, or sponsored by VMware, Inc., Broadcom Inc., or NVIDIA Corporation.** "VMware", "vSphere",

and "VCF" are trademarks of Broadcom; "NVIDIA" is a trademark of NVIDIA. Source is auditable at

github.com/vmware-skills/VMware-PrivateAI under the MIT license.

Status: pre-MVP skeleton (2026-08-06). Skill #15 of the VMware family. Manages the **GPU / AI-infrastructure

layer** of VMware Private AI Foundation with NVIDIA (PAIF-N) on vSphere 9.x / VCF 9.1 — GPU host/device

inventory, vGPU & DirectPath profiles, GPU consumers and utilization, vGPU assignment, and Private AI

Service (PAIS) model serving. Independent 1.x version line.

Companion of vmware-aiops (the vCenter VMs behind AI workloads), vmware-vks (GPU-enabled Kubernetes), and vmware-monitor (read-only health). This skill is the GPU lens over all three.

Every API path is verified against official Broadcom/NVIDIA docs before use (see tests/eval/spec/privateai_endpoints.py) — no endpoints written from memory.

The one write, vgpuassign, takes confirm (default false). Without it the call returns blastradius — the VM's name and id, current and target profile, whether its vGPU device is edited or a new one added, power state, blockers and unmeasured — and changes nothing. confirm=true is refused for a powered-on or suspended VM, a name shared by several VMs, and a VM whose power state or devices cannot be read. It never powers a VM off itself.