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://mcpbridge.org/config/azure-com-cognitiveservices-anomalydetector.json

Download JSON Claude Desktop Setup

One-Click Install

Copy the snippet for your MCP client and paste it in — zero editing required.

Claude Desktop

Add to claude_desktop_config.json

{
  "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"
      }
    }
  }
}

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "azure-com-cognitiveservices-anomalydetector": {
      "url": "https://mcpbridge.org/config/azure-com-cognitiveservices-anomalydetector.json"
    }
  }
}

VS Code

Use with MCP extension

{
  "mcpServers": {
    "azure-com-cognitiveservices-anomalydetector": {
      "url": "https://mcpbridge.org/config/azure-com-cognitiveservices-anomalydetector.json"
    }
  }
}

Configuration JSON

Use curl https://mcpbridge.org/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://mcpbridge.org/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.

Similar APIs

Other APIs in the Data & Analytics category.

Amazon Comprehend

Amazon Comprehend is an Amazon Web Services service for gaining insight into the content of documents. Use these actions to determine the topics contained in your documents, the topics they discuss, the predominant sentiment expressed in them, the predominant language used, and more.

https://mcpbridge.org/config/amazonaws-com-comprehend.json

Amazon Kinesis Firehose

<fullname>Amazon Kinesis Data Firehose API Reference</fullname> Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon OpenSearch Service, Amazon Redshift, Splunk, and various other s

https://mcpbridge.org/config/amazonaws-com-firehose.json

Amazon Kinesis

<fullname>Amazon Kinesis Data Streams Service API Reference</fullname> Amazon Kinesis Data Streams is a managed service that scales elastically for real-time processing of streaming big data.

https://mcpbridge.org/config/amazonaws-com-kinesis.json

Amazon Kinesis Analytics

<fullname>Amazon Kinesis Analytics</fullname> Overview <note> This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see <a h

https://mcpbridge.org/config/amazonaws-com-kinesisanalytics.json

Anomaly Detector ClientMCP Server Details →