Have your AI send email
Beyond replies: get Airbox to email you on a schedule, post to Slack, or send email to anyone — and how each option keeps your data safe.
Three ways Airbox can send, not just reply
By default Airbox answers the email you send it. But plenty of workflows want the other direction — “email me every morning,” or “…and send that to my team.” There are three ways to do that today, from simplest to most powerful:
- Scheduled briefings — Airbox emails you a digest on a schedule you choose.
- Post to Slack — your AI sends a message to a Slack channel as part of handling an email.
- Send email to anyone — connect a send-email MCP server and your AI can compose and send mail.
1. Get a briefing on a schedule
Turn on scheduled briefings (digest mode) for an address and Airbox holds the mail it receives, then emails you a single synthesized briefing at the time you pick — daily, weekly, or monthly, in your timezone. It's the no-code answer to “have the AI email me every morning.”
- Forward newsletters, alerts, or updates to the address all week.
- Airbox reads across all of them and sends one skimmable briefing — lead items first, anything time-sensitive flagged, action items at the end.
- Add a standing Context to shape the briefing's style and focus.
Scheduled briefings are a Pro/Team feature.
2. Post to Slack as an action
Connect a Slack workspace and your AI can post to a channel while handling an email — “summarize this and post it to #updates.” Set a default channel on the address so you don't have to name one each time.
Subject: @claude summarize and post to #product (forward the thread underneath)
Slack only posts to the workspace you connected, so the blast radius is the channels your bot is in — never arbitrary destinations.
3. Send email to anyone, via an MCP server
Because Airbox is an MCP client, you can give your AI a real “send email” tool by connecting any MCP server that exposes one. This works with every provider — Claude, ChatGPT, Google Gemini, and the rest — because Airbox runs the tool for the model. It's the most flexible option: your AI can draft a note and send it to whoever the task calls for.
- Pick or run a send-email MCP server. Use a hosted one, or self-host a small server that wraps your own provider (Postmark, SES, Resend, etc.). It must expose a tool like
send_email(to, subject, body)and be reachable at a publichttps://URL. - Connect it as an MCP connection with its URL and auth token. Your token is encrypted at rest and sent only to that server.
- Attach it to an address so emails to that address can use its tools.
- Use it — put the intent and recipient in your subject line:
Subject: @assistant draft a warm thank-you to jane@acme.com and send it (notes for the email in the body)
Airbox runs the model, it calls the server's send_email tool, and you get a confirmation emailed back.
Keep the recipient in your own words
The send-email server will email whoever the AI tells it to. Keep the recipient and the intent in your subject line or first body line — the trusted instruction surface — not buried inside a forwarded message. Airbox never lets forwarded content boss your AI around (see the security guide), but the recipient choice still ultimately runs through the server you connected, so connect one you trust and point it at a provider you control.
Which should I use?
- Want the AI to email you on a schedule? Use scheduled briefings — no setup beyond a toggle.
- Team updates? Post to Slack.
- Send real email to people? Connect a send-email MCP server.
Related
See MCP connections to set up a server, @targets to route an email to a specific tool, and the security guide for how Airbox keeps your instructions and your content apart.