AWS Auto Scaling Plans MCP Server
AWS Auto Scaling Plans is a sophisticated cloud resource management API provided by Amazon Web Services (AWS) designed to automate and optimize the scaling of your application infrastructure.
Quick Start Summary
The AWS Auto Scaling Plans MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS Auto Scaling Plans API through natural language. It exposes 6 API endpoints as callable tools, such as CreateScalingPlan, DeleteScalingPlan, DescribeScalingPlanResources, 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-autoscaling-plans. This integration is sourced from the auto AWS Auto Scaling Plans OpenAPI specification (v2018-01-06) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Cloud Infrastructure
- Authentication
- None
- Endpoints
- 6 operations
- Transport
- STDIO
- Spec Version
- v2018-01-06
- Install Command
npx -y @mcp/amazonaws-com-autoscaling-plans
Environment Variables
AWS_AUTO_SCALING_PLANS_API_KEYExample: your_aws_auto_scaling_plans_api_key
Top Endpoints
/#X-Amz-Target=AnyScaleScalingPlannerFrontendService.CreateScalingPlanCreateScalingPlan
/#X-Amz-Target=AnyScaleScalingPlannerFrontendService.DeleteScalingPlanDeleteScalingPlan
/#X-Amz-Target=AnyScaleScalingPlannerFrontendService.DescribeScalingPlanResourcesDescribeScalingPlanResources
/#X-Amz-Target=AnyScaleScalingPlannerFrontendService.DescribeScalingPlansDescribeScalingPlans
/#X-Amz-Target=AnyScaleScalingPlannerFrontendService.GetScalingPlanResourceForecastDataGetScalingPlanResourceForecastData
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-autoscaling-plans": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-autoscaling-plans"
],
"env": {
"AWS_AUTO_SCALING_PLANS_API_KEY": "your_aws_auto_scaling_plans_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-autoscaling-plans": {
"url": "https://mcpbridge.org/config/amazonaws-com-autoscaling-plans.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-autoscaling-plans": {
"url": "https://mcpbridge.org/config/amazonaws-com-autoscaling-plans.json"
}
}
}Endpoints Explorer
Search and browse the 6 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AWS Auto Scaling Plans endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/autoscaling-plans/2018-01-06/#X-Amz-Target=AnyScaleScalingPlannerFrontendService.CreateScalingPlan" \ -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-autoscaling-plans": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-autoscaling-plans"],
"env": {
"AWS_AUTO_SCALING_PLANS_API_KEY": "your_aws_auto_scaling_plans_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 Auto Scaling Plans 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: v2018-01-06
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.
CreateScalingPlan call with the correct parameters. The developer can also query for insights: "Analyze the forecast data for my 'InventoryService' scaling plan and recommend an adjustment to the target capacity for the next 24 hours," prompting the agent to use GetScalingPlanResourceForecastData and DescribeScalingPlanResources to provide an analysis. For ongoing management, a command like "Audit our production scaling plans for compliance with our minimum redundancy policy and update any that violate it" would trigger the agent to fetch all plans via DescribeScalingPlans, evaluate them against a defined rule, and execute UpdateScalingPlan on non-compliant configurations, automating governance and policy enforcement.autoscaling-plans:CreateScalingPlan, autoscaling-plans:DescribeScalingPlans) required for the intended workflow, on the specific resources identified by ARN. It is strongly recommended to use dedicated IAM roles for service integrations and to regularly audit permissions, ensuring that the AI agent's expanded capabilities do not become an unnecessary attack surface.Similar APIs
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