AWS Compute Optimizer MCP Server
AWS Compute Optimizer is a sophisticated, machine learning-powered optimization service provided by Amazon Web Services (AWS) that acts as a dedicated advisor for your compute infrastructure.
Quick Start Summary
The AWS Compute Optimizer MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS Compute Optimizer API through natural language. It exposes 10 API endpoints as callable tools, such as DeleteRecommendationPreferences, DescribeRecommendationExportJobs, ExportAutoScalingGroupRecommendations, 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-compute-optimizer. This integration is sourced from the auto AWS Compute Optimizer OpenAPI specification (v2019-11-01) 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
- v2019-11-01
- Install Command
npx -y @mcp/amazonaws-com-compute-optimizer
Environment Variables
AWS_COMPUTE_OPTIMIZER_API_KEYExample: your_aws_compute_optimizer_api_key
Top Endpoints
/#X-Amz-Target=ComputeOptimizerService.DeleteRecommendationPreferencesDeleteRecommendationPreferences
/#X-Amz-Target=ComputeOptimizerService.DescribeRecommendationExportJobsDescribeRecommendationExportJobs
/#X-Amz-Target=ComputeOptimizerService.ExportAutoScalingGroupRecommendationsExportAutoScalingGroupRecommendations
/#X-Amz-Target=ComputeOptimizerService.ExportEBSVolumeRecommendationsExportEBSVolumeRecommendations
/#X-Amz-Target=ComputeOptimizerService.ExportEC2InstanceRecommendationsExportEC2InstanceRecommendations
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-compute-optimizer": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-compute-optimizer"
],
"env": {
"AWS_COMPUTE_OPTIMIZER_API_KEY": "your_aws_compute_optimizer_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-compute-optimizer": {
"url": "https://mcpbridge.org/config/amazonaws-com-compute-optimizer.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-compute-optimizer": {
"url": "https://mcpbridge.org/config/amazonaws-com-compute-optimizer.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AWS Compute Optimizer endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/compute-optimizer/2019-11-01/#X-Amz-Target=ComputeOptimizerService.DeleteRecommendationPreferences" \ -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-compute-optimizer": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-compute-optimizer"],
"env": {
"AWS_COMPUTE_OPTIMIZER_API_KEY": "your_aws_compute_optimizer_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 AWS Compute Optimizer 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: v2019-11-01
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.
compute-optimizer:GetEC2InstanceRecommendations) and the specific AWS resources being analyzed. Adherence to the principle of least privilege is essential; the credentials should only allow the minimum necessary read access to recommendation data and, if applicable, export functionality to a specific S3 bucket. Configuration guidelines for the MCP server must include secure handling of AWS credentials (e.g., using environment variables or an secrets manager), region-specific endpoint targeting, and proper error handling to manage API throttling or permission errors gracefully, ensuring the AI agent operates within both security and operational boundaries.Similar APIs
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