VMware-PrivateAI (vmware-skills/VMware-PrivateAI) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 17 tools. No publisher has claimed this listing.

C
Emerging
74/100

VMware-PrivateAI

VMware Private AI Foundation with NVIDIA ops — GPU inventory, vGPU/DirectPath profiles, utilization, model serving (MCP + CLI). Community, not affiliated with VMware/Broadcom/NVIDIA.

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

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Who stands behind it

vmware-skills

Source: github_repo_search

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Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
17 tools verified — handlers match their declared behaviour
16 read-only tools verified — handlers contain no write/delete/exec
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// tools this server exposes17 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

pais_sizing_advise

[READ] Estimate GPU memory / GPU count / storage to serve an LLM of a given size.

pais_bundle_verify

[READ] Parse a LOCAL pais.yml / bundle manifest and list the images to mirror for air-gap.

gpu_host_list

[READ] List ESXi hosts that have at least one GPU, filtered by host name / GPU vendor.

gpu_host_get

[READ] Full GPU detail for one host by name — every GPU's device, type, memory, consumers.

gpu_device_list

[READ] List physical GPU devices across all hosts (flattened), filtered by host / vendor.

gpu_utilization

[READ] Real-time GPU utilization per vGPU VM (busiest first) — gpu_pct, mem_pct, temp_c.

gpu_consumer_list

[READ] List VMs consuming a vGPU and the profile each holds (e.g. "grid_a100-4c").

gpu_host_readiness

[READ] Report whether each GPU host is actually configured to serve vGPU / PAIS.

vgpu_assign

[WRITE] Set a VM's vGPU profile (e.g. "grid_a100-4c"). Requires the VM to be powered OFF.

pais_model_list

[READ] List models served by Private AI Service (OpenAI-compatible /models).

pais_knowledge_base_list

[READ] List Private AI Service knowledge bases (RAG vector stores).

pais_model_catalog

[READ] List the PAIS model CATALOG — models available/approved to deploy (not the served set).

pais_data_source_list

[READ] List PAIS RAG data sources (ingest connectors that feed knowledge bases).

pais_monitoring_summary

[READ] Fleet GPU monitoring rollup for VCF Ops dashboards — utilisation, hot/idle, busiest.

vgpu_profile_list

[READ] List the available vGPU profile catalog (what profiles a host can hand a VM).

directpath_profile_list

[READ] List vCenter-level DirectPath (dynamic passthrough) profiles. vSphere 9.0+.

vgpu_profile_validate

[READ] Pre-flight a vGPU profile change: would setting vm_name to target_profile succeed?

// quality suggestions

Domain consistency

npm scope @zw008 doesn't match GitHub owner vmware-skills

Use the same org name across GitHub, npm, and your homepage so users can verify the publisher.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: 2b805ecfe7469e2e719a360b39400034d0440654
code hash: 314c22001501150f8e713fc58aa746dbaa12edb2b7f38d118f4ce6d5c37c1da5
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