Data & Analytics

Anomaly Finder Client MCP Config

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

Config URL

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

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

Download JSON Claude Desktop Setup

Configuration JSON

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

{
  "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"
}
    }
  }
}

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-anomalyfinder.json

Environment Variables

ANOMALY_FINDER_CLIENT_API_KEY

Replace your_anomaly_finder_client_api_key with your actual 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.

Anomaly Finder ClientMCP Server Details →