observability_metric_anomaly_detector

Active

declared in 0.2.0

As a CTO, quickly identify anomalous cloud metrics (CPU, latency, memory) by comparing your infrastructure against AWS public benchmarks and CVE-linked hardware risks. Input your observed metrics (e.g., CPU utilization, request latency) and receive a risk assessment with potential root causes. Ideal for performance troubleshooting, security hardening, and capacity planning. Keywords: cloud observability, anomaly detection, CVE hardware risks, AWS benchmark comparison.

Parameters schema

{
  "type": "object",
  "required": [
    "metricType",
    "observedValue"
  ],
  "properties": {
    "async": {
      "type": "boolean",
      "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
    },
    "region": {
      "type": "string",
      "pattern": "^[a-z]{2}-[a-z]+-[0-9]$"
    },
    "metricType": {
      "enum": [
        "cpu",
        "latency",
        "memory"
      ],
      "type": "string"
    },
    "instanceType": {
      "type": "string",
      "pattern": "^[a-z0-9\\.]+$"
    },
    "observedValue": {
      "type": "number"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

gapup-mcp

https://github.com/getgapup/gapup-mcp-public

2/7 registries

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