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Anomaly Finder Client MCP Server

The Anomaly Finder API detects anomalies automatically in time series data. It supports two functionalities, one is for detecting the whole series with model trained by the timeseries, another is detecting last point with model trained by points before. By using this service, business customers can

Quick Setup

Transport: STDIO

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

Environment Variables

ANOMALY_FINDER_CLIENT_API_KEY

Example: your_anomaly_finder_client_api_key

MCP Server Configuration

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

{
  "mcpServers": {
    "azure-com-cognitiveservices-anomalyfinder": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-cognitiveservices-anomalyfinder"],
      "env": {
      "ANOMALY_FINDER_CLIENT_API_KEY": "your_anomaly_finder_client_api_key"
}
    }
  }
}

Endpoints

POST/timeseries/entire/detect

Find anomalies for the entire series in batch.

POST/timeseries/last/detect

Detect anomaly status of the latest point in time series.