Announcing new Model Context Protocol (MCP) Servers for AWS Serverless and Containers

Today, AWS announces the release of Model Context Protocol (MCP) servers for AWS Lambda, Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), and Finch. MCP servers are a standard interface to enhance AI-assisted application development by equipping AI code assistants with real-time, contextual understanding of AWS Serverless and Container services including AWS Lambda, Amazon ECS, and Amazon EKS. With MCP servers, you can get from idea to production faster by giving your AI assistants access to an up-to-date framework on how to correctly interact with your AWS service of choice.

MCP servers enable AI code assistants to generate production-ready results by incorporating AWS operational best practices, Well-Architected principles, and service-specific optimizations. When building applications on AWS Lambda, Amazon ECS, Amazon EKS, and Finch, developers can use natural language to describe their requirements while AI code assistants handle service configurations, infrastructure setup, and cross-service integrations. The code assistant will use the tools and configurations provided in the MCP server to build and deploy applications. MCP servers also simplify operations by enabling AI-assisted, service-specific configuration of logging, monitoring, security controls, and troubleshooting failures.

To learn more about MCP servers for AWS Serverless and Containers and how they can transform your AI-assisted application development, visit the AWS News Blog. To download and try out the open-source MCP servers for these services locally with your AI-enabled IDE of choice, visit the aws-labs GitHub repository.