Server data from the Official MCP Registry
Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 39 tools.
About
Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 39 tools.
Security Report
A well-architected governance harness for AI-ops inference clusters with strong audit, budget-guard, and undo-tracking mechanisms. Code is clean, authentication is optional but properly designed, and permissions align with the server's purpose (GPU cluster management). Minor low-severity findings around error handling and logging practices do not materially impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
5 files analyzed · 12 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-aiops-tools-inference-aiops": {
"args": [
"inference-aiops"
],
"command": "uvx"
}
}
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