model_behavior_drift_monitor

Active

declared in 0.2.0

Monitors AI model output drift by comparing current model responses against MLCommons safety benchmarks. Designed for risk and compliance personas to detect behavioral deviations that may indicate safety or alignment issues. Accepts model outputs or identifiers and returns structured drift metrics with statistical significance. Sources data from MLCommons public benchmark APIs.

Parameters schema

{
  "type": "object",
  "required": [
    "modelIdentifier"
  ],
  "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."
    },
    "threshold": {
      "type": "number",
      "default": 0.1,
      "maximum": 1,
      "minimum": 0,
      "description": "Drift threshold for alerting"
    },
    "currentOutputs": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Recent model outputs to analyze for drift"
    },
    "baselineMetrics": {
      "type": "object",
      "required": [
        "toxicity",
        "bias",
        "hallucinationRate"
      ],
      "properties": {
        "bias": {
          "type": "number",
          "maximum": 1,
          "minimum": 0
        },
        "toxicity": {
          "type": "number",
          "maximum": 1,
          "minimum": 0
        },
        "hallucinationRate": {
          "type": "number",
          "maximum": 1,
          "minimum": 0
        }
      }
    },
    "modelIdentifier": {
      "type": "string",
      "description": "Unique identifier for the model being monitored"
    }
  }
}

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

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