Amazon SES
ActiveAn 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.
What you can connect
Add these to your scene and AI gets access.
AWS credentials for SES access
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
Similar integrations
Others in Communication.
Ready to try Amazon SES with Daslab?
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