Server data from the Official MCP Registry
Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 30 tools.
Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 30 tools.
This is a well-architected governance harness for GPU inference clusters with strong audit, policy, and budget controls. The codebase demonstrates thoughtful security design including credential redaction, fail-safe defaults, and extensive logging. However, several medium-severity issues warrant attention: the pattern engine has incomplete validation logic (truncated file), environment variable-based credential handling lacks encryption at rest, and some error handling could be more robust. Permissions align well with the server's stated purpose. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
5 files analyzed · 14 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-aiops-tools-inference-aiops": {
"env": {
"INFERENCE_AIOPS_MASTER_PASSWORD": "your-inference-aiops-master-password-here"
},
"args": [
"inference-aiops"
],
"command": "uvx"
}
}
}Be the first to review this server!
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