MultiMail delivers inbound email to your AI agent as clean markdown, with webhook triggers and full API access. Extract orders, invoices, and support requests without running a mail server.
Business-critical data arrives in email every day—purchase orders, invoices, support tickets, form submissions—formatted however the sender chose. Extracting that data means either paying staff to copy it manually or building fragile parsers that break on the first formatting variation. Neither approach scales. An AI agent that reads email the way a trained human would—understanding context and intent rather than pattern-matching on text—is the only approach that handles real-world variation at volume.
MultiMail receives inbound email on any mailbox—your domain or @multimail.dev—and immediately delivers it to your AI agent via webhook. The email body is stored and served as clean markdown, stripping HTML scaffolding and preserving the structure that matters: tables, lists, quoted replies. Your agent calls read_email to get the full content, runs extraction logic, tags the message for tracking, and optionally replies with a confirmation. The full pipeline runs in seconds, at scale, without you managing SMTP infrastructure or parsing MIME multipart manually.
Configure a mailbox on your domain or @multimail.dev. When email arrives, MultiMail fires a webhook to your endpoint with the email_id, mailbox, sender, subject, and timestamp. No polling required.
Call read_email with the email_id to retrieve the full message body as clean markdown. Attachments are listed with signed URLs and MIME types. HTML is stripped to preserve only semantic content—tables, lists, quoted text.
Pass the markdown body to your AI agent with a schema-aware prompt. The agent returns structured JSON—invoice line items, order details, support ticket fields—without brittle regex or format assumptions.
Write extracted data to your database, trigger a workflow, or pass it to another service. Use get_thread to access prior messages for context when an email references an earlier conversation, and search_contacts to look up sender history.
Call set_tags to mark the message as processed, preventing double-handling if both webhook and batch sweep are in use. Optionally call reply_email to send a confirmation receipt to the sender using the same email_id.
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.
MultiMail handles MX records, DKIM verification, MIME parsing, and storage. Your agent gets a webhook and a clean API—not a mail server to maintain.
HTML email is noisy. MultiMail strips tracking pixels, inline styles, and markup scaffolding, leaving the semantic content your agent needs to extract data reliably.
Extraction accuracy improves when the agent can see prior messages. get_thread returns the complete conversation for any email_id, so amendments and revisions are read in context rather than misidentified as new records.
set_tags lets you mark messages as parsed, routed, or errored. Your webhook handler and batch sweep can both run without double-processing the same email.
Webhook delivery means your agent activates when email arrives, not on a timer. At high inbound volume, this eliminates the latency and API cost of continuous polling.
Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a hosted MCP server. Formally verified in Lean 4.