observability_metric_anomaly_detector
ActiveTool of gapup-mcp
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"
}
}
}No endpoints wrapped at confidence ≥ 0.50.
Parent server
gapup-mcp
https://github.com/getgapup/gapup-mcp-public
2/7 registries