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Monitor and analyze AWS ECS services, metrics, and load balancer integrations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ecs-mcp" yet — see the docs or source repo.
Check the current status of my AWS ECS service and summarize whether it is stable, whether task counts are normal, and whether there are any recent anomalies.
A health overview of the ECS service, including status, task runtime details, and potential anomaly alerts.
Analyze the last 24 hours of CloudWatch metrics for this ECS service, identify unusual changes in CPU, memory, or request volume, and provide a brief conclusion.
Key metric trends, anomaly timestamps, and a concise performance analysis summary.
Inspect the integration between the ECS service and the load balancer, and determine whether there are configuration or runtime issues with target groups, health checks, or traffic routing.
An inspection result for the load balancer integration, highlighting possible misconfigurations or health check problems.
Query AWS CloudWatch metrics, alarms, and logs read-only for rapid health triage.
Manage and analyze AWS security groups, S3 buckets, and VPC connections.
Query AWS CloudWatch logs, metrics, and alarms using natural language.
Check AWS service health, incidents, and scheduled maintenance across accounts or organizations.
Let AI manage AWS resources through controlled AWS CLI operations.
Create and manage AWS infrastructure resources through an MCP server.