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Amazon SES

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An AI agent for Amazon SES. It works in a scene with a live connection to Amazon SES. It asks before it writes, and every run is traced.

Send transactional and marketing emails via Amazon SES. Manage verified identities, monitor sending quotas, and deliver emails with high deliverability through AWS infrastructure.

Communication Custom 2 asset types 4 tools

What you can connect

Add these to your scene and AI gets access.

Account Accounts

AWS credentials for SES access

Identity Identities

A verified email address or domain for sending

Tools

What the agent can do once this is connected.

Reads 3

See data. Nothing changes.

ses_list_identities List verified email addresses and domains in your SES account.
ses_get_send_quota Get your SES sending quota (max sends per 24h), current send rate, and number of emails sent in the past 24 hours..
ses_get_identity Get details about a verified email identity — verification status, DKIM status, and sending enabled/disabled..

Writes 1

Change data in the connected system. Every one of these stages for your approval before it runs.

ses_send_email Send an email via AWS SES. needs approval

Connect Amazon SES over MCP

Daslab is itself an MCP server.

Connect Amazon SES in a scene, then pin that scene's URL in Claude Code, Cursor, or any MCP client. The agent there gets your Amazon SES tools, and your approval gate and trace travel with them.

https://daslab.run/mcp/<your-world>/<your-scene>

One scene can hold Amazon SES and everything else you connect, so a single endpoint carries them all. Set up a client.

Use cases

  • Send transactional emails from AI workflows
  • Monitor sending quotas and delivery stats
  • Manage verified email identities and domains

Ready to try Amazon SES with Daslab?

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