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AI & MLAuto-generatedScore: 46

Amazon Lookout for Equipment MCP Server

Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.

Quick Answer

  1. 1. The Amazon Lookout for Equipment MCP server lets Claude, Cursor, and VS Code interact with the Amazon Lookout for Equipment API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 10 operations available including CreateDataset, CreateInferenceScheduler, CreateLabel, and more.
  4. 4. Quality score: 46/99 — fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-lookoutequipment

Spec: v2020-12-15

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_LOOKOUT_FOR_EQUIPMENT_API_KEY

Example: your_amazon_lookout_for_equipment_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": {
    "amazonaws-com-lookoutequipment": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-lookoutequipment"
      ],
      "env": {
        "AMAZON_LOOKOUT_FOR_EQUIPMENT_API_KEY": "your_amazon_lookout_for_equipment_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "amazonaws-com-lookoutequipment": {
      "url": "https://mcpbridge.org/config/amazonaws-com-lookoutequipment.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": {
    "amazonaws-com-lookoutequipment": {
      "url": "https://mcpbridge.org/config/amazonaws-com-lookoutequipment.json"
    }
  }
}

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-lookoutequipment": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-lookoutequipment"],
      "env": {
      "AMAZON_LOOKOUT_FOR_EQUIPMENT_API_KEY": "your_amazon_lookout_for_equipment_api_key"
}
    }
  }
}

What You Can Build

With the Amazon Lookout for Equipment MCP server, your AI assistant can:

  • Access 10 API operations through natural language
  • Read, create, and modify ai & ml 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/#X-Amz-Target=AWSLookoutEquipmentFrontendService.CreateDataset

CreateDataset

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.CreateInferenceScheduler

CreateInferenceScheduler

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.CreateLabel

CreateLabel

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.CreateLabelGroup

CreateLabelGroup

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.CreateModel

CreateModel

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.DeleteDataset

DeleteDataset

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.DeleteInferenceScheduler

DeleteInferenceScheduler

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.DeleteLabel

DeleteLabel

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.DeleteLabelGroup

DeleteLabelGroup

POST/#X-Amz-Target=AWSLookoutEquipmentFrontendService.DeleteModel

DeleteModel

Documentation →

Authentication

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

Spec Version

Version: 2020-12-15

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

Page last updated: June 13, 2026

Quality Score

46/99Fair
  • +Auto-generated (+12)
  • +Has documentation (+12)
  • +OpenAPI spec available (+8)
  • +10 endpoints (+14)

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