Amazon SES MCP Server

Overview

The Amazon SES MCP Server bridges the gap between AI assistants and AWS’s email service, exposing every public action of Amazon Simple Email Service (SES) v2 as a first‑class MCP resource. Developers can now let Claude, Amazon Q, or any MCP‑capable LLM send mail, manage contact lists, monitor deliverability, and perform IP pool operations—all through natural language commands that the assistant translates into API calls. By abstracting the complexity of AWS SDKs and IAM permissions, the server enables rapid prototyping of email‑centric workflows without writing boilerplate code.

What problem does it solve? Many AI assistants are excellent at generating text, but they lack direct access to external services. With this server in place, an assistant can ask a user “Send a welcome email to new subscribers” and the LLM will invoke the appropriate SES API, handling authentication, payload formatting, and error reporting automatically. This eliminates manual scripting or SDK usage for routine email tasks, accelerating feature development in marketing, notification, and support systems.

Key capabilities are delivered through a simple configuration: the server runs as a Java JAR, automatically discovers the default AWS profile, and exposes all SES v2 endpoints. From composing single‑recipient messages to launching multi‑recipients templates, the MCP interface supports advanced features such as dedicated IP pools and suppression list management. Deliverability metrics can be queried via the Virtual Deliverability Manager, giving developers real‑time insight into bounce rates and reputation scores—all accessible through a conversational prompt.

Real‑world use cases span marketing automation, transactional email delivery, and compliance monitoring. A product team could build a “send password reset” flow that the assistant triggers based on user input, while an operations engineer might query “What is my current bounce rate?” and receive a concise report. Because the MCP server handles authentication, developers can focus on business logic rather than credential management.

Integration with AI workflows is seamless. Once the server is registered in the client’s MCP configuration, any supported LLM can call SES actions by name, passing parameters as JSON or natural language. The assistant translates these into API calls, returns responses in a human‑readable format, and can even handle retries or error handling internally. This tight coupling allows developers to prototype end‑to‑end pipelines—e.g., “If email delivery fails, add the address to the suppression list”—within a single conversational session.

In summary, the Amazon SES MCP Server turns email operations into an AI‑friendly service. It unlocks powerful automation for developers, reduces the friction of integrating AWS services into conversational agents, and provides a secure, auditable bridge that respects IAM policies while delivering the flexibility needed for modern application development.