{`

Step by step deployment of Gemma 4 E2B to a SageMaker real-time endpoint on one NVIDIA L4 with the AWS vLLM container, driven by the aws CLI and managed by a Python MCP server from Claude Code or Gemini CLI.

Step by step deployment of Gemma 4 E2B to a SageMaker real-time endpoint on one NVIDIA L4 with the AWS vLLM container, driven by the aws CLI and managed by a Python MCP server from Claude Code or Gemini CLI.

Chapter 4: MCP Integration (Model Context Protocol)

AWS End User Messaging and Amazon SES now offer AI agent skills for the AWS MCP Server, enabling developers to build and send messages using natural language commands.

Today, AWS announced cross-account and cross-role access for the AWS Model Context Protocol (MCP) Server, part of the https://aws.amazon.com/products/developer-tools/agent-toolkit-for-aws/. This feature allows developers using AI coding agents like Kiro, Claude Code, or Codex to work across multiple AWS accounts and AWS Identity and Access Management (IAM) roles within a single session, with no restarts required. Previously, switching profiles required stopping the AI coding session, updating local AWS credentials, and restarting the MCP server for every account change. Now, AI agents using the AWS MCP Server can specify a profile on each command, allowing users to switch between accounts and roles seamlessly. Cross-account access helps developers move faster across multi-account environments. For example, a DevOps engineer can query CloudWatch logs across production and staging accounts to diagnose a performance issue, or an application developer can update a Lambda configuration in one account and adjust an S3 bucket policy in another, all within the same conversation. Each request specifies which profile to use, so there is no risk of commands reaching the wrong account. To get started, see https://docs.aws.amazon.com/agent-toolkit/latest/userguide/multi-account-access.html in the Agent Toolkit for AWS user guide. The AWS MCP Server is available in the US East (N. Virginia) and Europe (Frankfurt) Regions.

AWS announces the general availability of the AWS MCP Server, a managed remote Model Context Protocol (MCP) server that gives AI agents and coding assistants secure, authenticated access to all AWS…

AWS End User Messaging and Amazon SES now publish AI agent skills for the AWS MCP Server, enabling developers to build and send messages by asking their AI coding agent in plain language. Previously, developers had to navigate multiple documentation pages and management console screens to complete messaging tasks. Now, each skill provides your agent with step-by-step, validated guidance for tasks like verifying sending identities, building branded Rich Communication Services (RCS) agents, and sending production emails. These skills integrate with popular AI coding agents including Claude Code, Codex, Cursor, and Kiro. For example, you can ask Amazon SES to verify a sending identity and send your first production email. You can ask AWS End User Messaging to build a branded RCS agent and send yourself a rich message with cards and buttons. The skills eliminate the need to manually search documentation or switch between console screens, allowing you to complete messaging workflows directly through natural language commands. To use these skills, first https://docs.aws.amazon.com/agent-toolkit/latest/userguide/getting-started-aws-mcp-server.html to your agent. In Claude Code, Codex, and Cursor, the aws-core plugin bundles the server and a curated set of skills in one install. In Kiro and other agents, you add the server to your MCP configuration file. Then add the skill for the channel you want, and your agent is ready to guide you. For details on what each skill does and how to install it, see the https://docs.aws.amazon.com/sms-voice/latest/userguide/agent-setup-guide.html, the https://docs.aws.amazon.com/social-messaging/latest/userguide/agent-setup-guide.html and the https://docs.aws.amazon.com/ses/latest/dg/agent-setup-guide.html.

MCP Server for hourly updated AWS News

AWS End User Messaging and Amazon SES now publish AI agent skills for the AWS MCP Server, enabling developers to build and send messages by asking their AI coding agent in plain language. Previously, developers had to navigate multiple documentation pages and management console screens to complete messaging tasks. Now, each skill provides your agent with step-by-step, validated guidance for tasks like verifying sending identities, building branded Rich Communication Services (RCS) agents, and sending production emails. These skills integrate with popular AI coding agents including Claude Code, Codex, Cursor, and Kiro. For example, you can ask Amazon SES to verify a sending identity and send your first production email. You can ask AWS End User Messaging to build a branded RCS agent and send yourself a rich message with cards and buttons. The skills eliminate the need to manually search documentation or switch between console screens, allowing you to complete messaging workflows directly through natural language commands. To use these skills, first connect the AWS MCP Server to your agent. In Claude Code, Codex, and Cursor, the aws-core plugin bundles the server and a curated set of skills in one install. In Kiro and other agents, you add the server to your MCP configuration file. Then add the skill for the channel you want, and your agent is ready to guide you. For details on what each skill does and how to install it, see the AWS End User Messaging SMS and RCS agent setup guide, the AWS End User Messaging WhatsApp agent setup guide, and the Amazon SES agent setup guide.

Lambda, ECS Fargate, or Bedrock AgentCore? A practical guide to choosing where to host a remote MCP server on AWS, based on two questions: does your server hold state, and does it need to stream messages to the client?

Supercharge Your AI Coding Assistant: Building Your First Custom MCP Server on AWS

On July 28, 2026, MCP made its protocol core stateless, removing the initialize handshake and session header. This post maps the MCP 2026-07-28 specification to the AWS Well-Architected Agentic AI Lens, pillar by pillar, and shows why the stateless design lets you delete the sticky sessions and session stores your MCP servers needed on AWS.

YouTube video by AWS Developers

Elasticsearch MCP server — available on AWS Marketplace — allows seamless integration with Elasticsearch data using the Model Context Protocol. You can connect directly from any MCP-compatible client ...

Learn how to leverage the Model Context Protocol (MCP) to safely connect AI agents to AWS services. This guide covers core client-server architecture, local and remote deployment patterns, step-by-step configuration, and key AWS services like Bedrock, Lambda, and IAM.

An AWS Labs Model Context Protocol (MCP) server for AWS Lambda

タダです. 今週の X で盛り上がっていた AWS から MCP リリースがありました.早速使ってみます. github.com 2025年4月6日時点の提供されている MCP サーバー 記事執筆時点で提供されている MCP サーバーは以下のものになります.この記事では AWS Documentation MCP Server を試しに使ってみます. Core MCP Server Amazon Bedrock Knowledge Bases Retrieval MCP Server AWS CDK MCP Server Cost Analysis MCP Server Amazon Nova…