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Data & AnalyticsAuto-generatedScore: 28

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 Answer

  1. 1. The Anomaly Detector Client MCP server lets Claude, Cursor, and VS Code interact with the Anomaly Detector Client API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 3 operations available including Detect change point for the entire series, Detect anomalies for the entire series in batch., Detect anomaly status of the latest point in time series..
  4. 4. Quality score: 28/99 — fair source quality and documentation coverage.

Overview

Category: Data & Analytics

Auth: None

Endpoints: 3

Transport: STDIO

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

Spec: v1.0

Setup time: ~30 sec (no auth)

Environment Variables

ANOMALY_DETECTOR_CLIENT_API_KEY

Example: your_anomaly_detector_client_api_key

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"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

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

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"
}
    }
  }
}

What You Can Build

With the Anomaly Detector Client MCP server, your AI assistant can:

  • Access 3 API operations through natural language
  • Read, create, and modify data & analytics resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

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.

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: 1.0

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

28/99Fair
  • +Auto-generated (+12)
  • +OpenAPI spec available (+8)
  • +3 endpoints (+8)

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