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Anomaly Detector Client MCP Server

The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time s

Quick Setup

Transport: STDIO

Command: npx -y @mcp/azure-com-cognitiveservices-anomalydetector

Environment Variables

ANOMALY_DETECTOR_CLIENT_API_KEY

Example: your_anomaly_detector_client_api_key

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "azure-com-cognitiveservices-anomalydetector": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-cognitiveservices-anomalydetector"],
      "env": {
      "ANOMALY_DETECTOR_CLIENT_API_KEY": "your_anomaly_detector_client_api_key"
}
    }
  }
}

Endpoints

POST/timeseries/changePoint/detect

Detect change point for the entire series

POST/timeseries/entire/detect

Detect anomalies for the entire series in batch.

POST/timeseries/last/detect

Detect anomaly status of the latest point in time series.