Amazon Lookout for Metrics MCP Server
Amazon Lookout for Metrics is a fully managed service provided by Amazon Web Services (AWS) that enables developers and data analysts to automatically detect and diagnose anomalies in their business and operational data.
Quick Start Summary
The Amazon Lookout for Metrics MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Amazon Lookout for Metrics API through natural language. It exposes 10 API endpoints as callable tools, such as ActivateAnomalyDetector, BackTestAnomalyDetector, CreateAlert, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-lookoutmetrics. This integration is sourced from the auto Amazon Lookout for Metrics OpenAPI specification (v2017-07-25) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Cloud Infrastructure
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2017-07-25
- Install Command
npx -y @mcp/amazonaws-com-lookoutmetrics
Environment Variables
AMAZON_LOOKOUT_FOR_METRICS_API_KEYExample: your_amazon_lookout_for_metrics_api_key
Top Endpoints
/ActivateAnomalyDetectorActivateAnomalyDetector
/BackTestAnomalyDetectorBackTestAnomalyDetector
/CreateAlertCreateAlert
/CreateAnomalyDetectorCreateAnomalyDetector
/CreateMetricSetCreateMetricSet
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-lookoutmetrics": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-lookoutmetrics"
],
"env": {
"AMAZON_LOOKOUT_FOR_METRICS_API_KEY": "your_amazon_lookout_for_metrics_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-lookoutmetrics": {
"url": "https://mcpbridge.org/config/amazonaws-com-lookoutmetrics.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-lookoutmetrics": {
"url": "https://mcpbridge.org/config/amazonaws-com-lookoutmetrics.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling Amazon Lookout for Metrics endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/lookoutmetrics/2017-07-25/ActivateAnomalyDetector" \ -H "Content-Type: application/json" \ # No auth required
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-lookoutmetrics": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-lookoutmetrics"],
"env": {
"AMAZON_LOOKOUT_FOR_METRICS_API_KEY": "your_amazon_lookout_for_metrics_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking Amazon Lookout for Metrics endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v2017-07-25
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
A technical breakdown of capabilities, agent workflows, and security/configuration best practices.
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