Today, Amazon Elastic Kubernetes Service (EKS) and Amazon Elastic Container Service (ECS) announced fully managed MCP servers enabling AI powered experiences for development and operations in preview. MCP (Model Context Protocol) provides a standardized interface that enriches AI applications with real-time, contextual knowledge of EKS and ECS clusters, enabling more accurate and tailored guidance throughout the application lifecycle, from development through operations. With this launch, EKS and ECS now offer fully managed MCP servers hosted in the AWS cloud, eliminating the need for local installation and maintenance. The fully managed MCP servers provide enterprise-grade capabilities like automatic updates and patching, centralized security through AWS IAM integration, comprehensive audit logging via AWS CloudTrail, and the proven scalability, reliability, and support of AWS.
The fully managed Amazon EKS and ECS MCP servers enable developers to easily configure AI coding assistants like Kiro CLI, Cursor, or Cline for guided development workflows, optimized code generation, and context-aware debugging. Operators gain access to a knowledge base of best practices and troubleshooting guidance derived from extensive operational experience managing clusters at scale.
To learn more about the Amazon EKS MCP server preview, visit EKS MCP server documentation and launch blog post. To learn more about the Amazon ECS MCP server preview, visit ECS MCP server documentation and launch blog post.
Categories: general:products/amazon-ecs,general:products/amazon-eks,marketing:marchitecture/containers
Source: Amazon Web Services
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