Data & Analytics

Anomaly Detector Client MCP Config

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

Config URL

Use this URL in any MCP-compatible client to fetch the config automatically.

https://mcp-bridge.pages.dev/config/azure-com-cognitiveservices-anomalydetector.json

Download JSON Claude Desktop Setup

Configuration JSON

Use curl https://mcp-bridge.pages.dev/config/azure-com-cognitiveservices-anomalydetector.json to fetch programmatically.

{
  "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"
}
    }
  }
}

How to Use

Claude Desktop

Paste the config JSON into your claude_desktop_config.json.

Full instructions →

Cursor

Go to Cursor Settings → MCP Servers → Add with the JSON above.

CLI / curl

Fetch the config programmatically:

curl https://mcp-bridge.pages.dev/config/azure-com-cognitiveservices-anomalydetector.json

Environment Variables

ANOMALY_DETECTOR_CLIENT_API_KEY

Replace your_anomaly_detector_client_api_key with your actual 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.

Anomaly Detector ClientMCP Server Details →