Email Infrastructure Built for DevOps Pipelines

Connect AI email agents to your CI/CD system, alerting stack, and incident workflows. Programmable, observable, and resilient — without sacrificing operational control.


Why this matters

Generic mail APIs were designed for transactional messages, not operational workflows. They lack observable send queues, have no concept of agent-safe permissions, and give DevOps teams no way to distinguish a human-composed email from one generated by an automated agent. When a deployment fails at 2am and your incident response pipeline needs to notify stakeholders, route escalations, and log everything to your audit trail, you need infrastructure that behaves like infrastructure — not a marketing email service bolted onto a REST endpoint.


How MultiMail solves this

MultiMail provides a REST API and MCP server purpose-built for agents operating in production pipelines. Every send goes through an observable queue you can inspect and cancel. Every action produces a structured audit event. The monitored oversight mode is a natural fit for DevOps: agents send autonomously, but every delivery is visible to your team in real time. You can hook MultiMail into a Cloudflare Worker, a GitHub Actions step, or an existing alerting stack without changing your queue or on-call tooling.

1

Pipeline event triggers the agent

A deployment completion, failed health check, or PagerDuty escalation fires a webhook or queue message. Your agent receives the event payload — build SHA, environment, affected services, timing data — and begins composing context.

2

Agent generates the notification body

The agent calls your monitoring APIs to gather incident links, rollout timing, and health check results, then drafts a structured summary. No template required — the agent produces the message body from live data.

3

Send or gate based on severity

For routine deploy summaries, the agent posts to a monitored mailbox (POST /v1/mailboxes/{mailbox_id}/send) and the message goes out immediately. For high-severity incidents, route through a gated_send mailbox so a human approves before delivery to stakeholders outside your org. Oversight mode is a property of the mailbox, not a per-send field.

4

Observe delivery and queue state

Every send produces a delivery event you can consume via webhook or poll with GET /v1/mailboxes/{mailbox_id}/emails. GET /v1/oversight/pending shows any messages still awaiting approval. POST /v1/mailboxes/{mailbox_id}/emails/{email_id}/cancel lets you pull a queued send before delivery if the incident resolves.

5

Audit trail closes the loop

MultiMail logs every agent action — who sent, what oversight mode was active, delivery status, and any approval events — giving you a complete record for postmortems and compliance reviews.


Try it with your agent

Pick your platform, copy the prompt, and paste it to your AI agent — it sets up MultiMail and builds the whole flow. Nothing to fill in.

1. Read https://multimail.dev/llms.txt, connect the MCP server, create a free inbox, and set up a verified sender. 2. In GitHub, use the real Actions workflow_run event or an existing deployment workflow step guarded by failure() to detect failed production deployments, and collect the workflow name, run URL, commit SHA, branch, actor, environment, and failed job summary. 3. When a production deployment fails, compose an incident email to the engineering lead, on-call owner, product stakeholder, and customer-facing owner with the impact, current status, rollback state, next checkpoint time, and links back to the GitHub run. 4. Send the first notice immediately, schedule follow-ups every 30 minutes while the workflow remains failed or unresolved, and send a resolved summary when the next production deployment succeeds. 5. Run MultiMail in monitored oversight mode so the team can see every agent-generated delivery in real time; ask me only for GitHub access, stakeholder recipients, sender/domain approval, and brand voice before going live.

What you get

Observable send queue

Every outbound message held under a gated mode enters a queue you can inspect with GET /v1/oversight/pending and cancel with POST /v1/mailboxes/{mailbox_id}/emails/{email_id}/cancel. If an incident resolves before your notification sends, you can pull the message. Generic SMTP relays offer no equivalent.

Severity-based oversight routing

Configure monitored mode for routine deploy summaries and gated_send for P0 escalations — in the same pipeline, using the same API. No separate tool for 'high-trust' vs 'low-trust' sends.

Structured audit trail

Every agent action produces a timestamped audit event: who sent, which oversight mode was active, whether approval was required, and delivery status. Feeds directly into postmortems and SOC 2 evidence collection.

Edge-native deployment

MultiMail's API runs on Cloudflare's global network. If you deploy your incident-response logic in Cloudflare Workers, your email calls stay on-network with sub-5ms routing latency in most regions.

Webhook-driven inbound routing

Receive alert emails from external monitoring systems into a dedicated MultiMail mailbox and route them into PagerDuty, Slack, or your own queue via webhook. GET /v1/mailboxes/{mailbox_id}/emails and GET /v1/mailboxes/{mailbox_id}/emails/{email_id} let agents poll and triage inbound ops mail programmatically.


Recommended oversight mode

Recommended
monitored
DevOps notification email is high-volume and time-sensitive — deploy summaries, health check results, and routine alerts should go out immediately without blocking on human approval. Monitored mode lets the agent act autonomously while every send remains visible to your team in real time. Reserve gated_send for high-severity incidents where stakeholder communications outside your org warrant a human sign-off before delivery.

Common questions

Can I use MultiMail inside a GitHub Actions workflow?
Yes. Add MM_API_KEY as a GitHub Actions secret and call the REST API from any step — Python, shell, or a dedicated action. Sending is a single HTTPS POST to /v1/mailboxes/{mailbox_id}/send. You can tag messages via PUT /v1/mailboxes/{mailbox_id}/emails/{email_id}/tags with the commit SHA and environment so they appear grouped in your MultiMail dashboard.
How does the cancel_message endpoint work if delivery has already started?
POST /v1/mailboxes/{mailbox_id}/emails/{email_id}/cancel cancels a message that is still in the MultiMail queue and has not yet been handed off to the downstream mail provider. Once delivery has been attempted, cancellation is no longer possible. Use GET /v1/oversight/pending to check queue state before calling cancel. For time-critical cancellation windows, call both in sequence immediately after the triggering condition resolves.
Can I route inbound alert emails from external services into my pipeline?
Yes. Create a dedicated mailbox (e.g., [email protected]) and configure a webhook on it. MultiMail will POST a structured event to your endpoint on every inbound message. From a Cloudflare Worker or any HTTP handler, you can parse the subject, body, and sender and route the alert into PagerDuty, Opsgenie, or a custom queue.
Does MultiMail support high send volumes typical in large infrastructure fleets?
MultiMail's queue-based architecture handles burst notification traffic without rate-limit errors on your end. The underlying delivery infrastructure scales horizontally. For very high volumes (thousands of deploy notifications per hour), contact us to discuss dedicated throughput allocation for your account.
How do I distinguish agent-sent emails from human-sent emails in my audit log?
Agent-sent mail is distinguished by the mailbox it goes through and by the gateway-enforced identity and disclosure on every message: each outbound message carries an X-MultiMail-Identity signed claim (which records the mailbox, oversight mode, and capabilities) and the X-AI-Generated: true header. Route agent traffic through dedicated mailboxes and apply tags via PUT /v1/mailboxes/{mailbox_id}/emails/{email_id}/tags, then filter the audit trail by mailbox or tag to separate automated pipeline notifications from human-composed mail.
Can I use the MCP server instead of the REST API in an agentic CI workflow?
Yes. The MultiMail MCP server exposes all 51 tools including send_email, list_pending, cancel_message, and check_inbox to any MCP-compatible agent runtime. If your incident-response agent runs in Claude Desktop, Cursor, or a custom MCP client, the same tool interface works without switching to the REST API.

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The only agent email with a verifiable sender

Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a hosted MCP server. Formally verified in Lean 4.