Overview of the AWS SES MCP Server

The aws‑ses‑mcp server bridges the gap between AI assistants and email communication by providing a lightweight, secure interface to Amazon Simple Email Service (SES). In many modern workflows, developers and teams use AI tools like Claude or Cursor to draft messages, generate content, or compose marketing copy. However, sending those drafts directly from the AI environment often requires manual copy‑paste or additional integrations. This MCP server eliminates that friction by exposing a simple command‑style endpoint that accepts an email payload and forwards it to SES for delivery.

At its core, the server receives a JSON‑formatted email request that can include plain text or HTML bodies, multiple recipients, CC/BCC lists, and a configurable reply‑to address. It validates the payload against SES requirements, logs each request and response for troubleshooting, and optionally schedules messages for later delivery. By abstracting away AWS credentials and SES configuration details behind a single MCP command, developers can focus on crafting content rather than managing authentication or API intricacies. The server also allows the sender address to be customized—provided it is verified in SES—giving teams full control over their email identity.

Key capabilities of this MCP server include:

• Dual‑format support: Send both plain text and richly formatted HTML emails without extra setup.
• Recipient flexibility: Add CC, BCC, and reply‑to addresses in a single payload.
• Logging and debugging: Every request and response is recorded, making it easier to trace failures or bounces.
• Scheduling: Emails can be queued for future delivery, enabling automated follow‑ups or time‑zone‑aware sends.
• Secure integration: Credentials are passed via environment variables or command line flags, keeping secrets out of code repositories.

Typical use cases span from automated customer support responses to marketing newsletters. For instance, an AI assistant can draft a product update in Cursor, then trigger the MCP server to send it directly to a mailing list without leaving the editor. In another scenario, a chatbot embedded in an internal tool could generate HR notifications and dispatch them through SES, ensuring reliable delivery and compliance with email standards.

Integrating the server into existing AI workflows is straightforward: tools like Cursor or Claude Desktop expose an “MCP” configuration panel where the command path and environment variables are specified. Once configured, the AI can invoke the server by simply selecting text and issuing a “send as email” command. The server’s lightweight nature means it can run locally on developers’ machines or be deployed in a cloud function, providing flexibility for both on‑premise and serverless architectures.

In summary, the AWS SES MCP server offers a concise, developer‑friendly bridge between AI content generation and professional email delivery. Its support for rich formatting, advanced recipient handling, and robust logging makes it a valuable addition to any AI‑powered communication pipeline.