AWS End User Messaging and Amazon SES now offer AI agent skills for the AWS MCP Server
AWS End User Messaging and Amazon SES now provide AI agent skills for the AWS MCP Server, allowing developers to perform messaging tasks via plain-language commands in supported AI coding agents.
AWS End User Messaging and Amazon SES have introduced AI agent skills for the AWS MCP Server, enabling developers to execute messaging tasks through natural language instructions in supported AI coding agents. Previously, developers had to manually navigate documentation and console screens to complete tasks such as verifying sending identities or building branded RCS agents. The new skills provide step-by-step, validated guidance for these workflows, reducing the need for manual intervention.
The skills integrate with popular AI coding agents including Claude Code, Codex, Cursor, and Kiro, allowing developers to request actions like verifying a sending identity or sending a production email directly from their agent. For example, developers can ask Amazon SES to verify a sending identity and send their first production email without leaving the agent interface. Similarly, AWS End User Messaging enables developers to build a branded RCS agent and send rich messages with cards and buttons using natural language commands.
To use these skills, developers must first connect the AWS MCP Server to their AI coding agent. In agents like Claude Code, Codex, and Cursor, the aws-core plugin bundles the server and a curated set of skills in a single installation. For agents like Kiro, developers add the server to their MCP configuration file and then include the specific skill for the desired channel.
Detailed instructions for installing and using the skills are available in 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. These resources provide step-by-step guidance on configuring and utilizing the skills within supported AI coding agents.