AI agents read Notion pages and databases to build context, then send or route email through MultiMail with the right oversight mode applied.
Notion serves as the knowledge layer for many AI agent workflows — task lists, CRM records, project wikis, and routing policies all live there. When an agent needs to act on that knowledge by sending email, it needs a delivery API that can handle the gap between "I read the context" and "I sent something I shouldn't have."
MultiMail sits at the delivery end of that pipeline. An agent queries a Notion database to find open action items, reads the relevant pages for context, then calls MultiMail's send or oversight-decide endpoints with the appropriate oversight mode applied. Notion informs the draft; MultiMail decides whether and how it ships.
This pattern appears in outreach automation, customer success tooling, and internal ops agents. The agent pulls structured data — assignee, deadline, status — from a Notion database, constructs a tailored message, and hands off to MultiMail, which can gate the send on human approval, run monitored, or operate fully autonomously depending on how much trust the workflow has earned.
Notion provides the signal for what to write. MultiMail's gated_send mode ensures that context-informed drafts still require human sign-off before delivery. The two layers are independent: adjust the Notion query logic without touching the oversight policy, or tighten oversight without changing what the agent reads.
Structured Notion properties — assignee email, due date, priority tag — map cleanly to MultiMail API parameters. An agent can read a database row and call the send endpoint without an intermediate transformation step.
Start with gated_all while your agent is learning the workflow. Promote to gated_send once sends look correct. Run monitored or autonomous once you trust the output. Oversight mode is set per mailbox, so different agents can run at different trust levels without changing your code.
When an agent reads a Notion routing table to determine how to handle a pending email, MultiMail's POST /v1/oversight/decide endpoint approves or rejects it — and tagging via PUT /v1/mailboxes/{mailbox_id}/emails/{email_id}/tags records the routing outcome — without requiring a separate delivery call.
MultiMail fires webhooks on inbound email, approval events, and delivery status. Agents can use these to update Notion database rows — logging message IDs, changing status properties, or creating follow-up tasks — so your workspace stays in sync with your email queue.
No code, no dashboard. Paste this to your AI agent — it connects MultiMail, creates an inbox, and builds the flow for you.
Install the official Notion JavaScript client and create an internal integration at developers.notion.com. Share the relevant databases with that integration, then set your tokens as environment variables.
Give your agent a stable send address using MultiMail's POST /v1/mailboxes endpoint (admin scope). Set oversight_mode to gated_send for first-run safety — you can relax it once you've reviewed a batch of drafts. AI disclosure is locked on for every mailbox and cannot be disabled.
Pull a record from your Notion database and pass the relevant fields to MultiMail's POST /v1/mailboxes/{mailbox_id}/send endpoint. Because the mailbox is in gated_send mode, the send returns 202 with status pending_scan and is held for approval before delivery.
Subscribe to MultiMail delivery events so your agent can react to outcomes — updating Notion records, creating follow-up tasks, or handling bounces.
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