Enterprise Email Agents on AWS Bedrock

Connect AWS Bedrock Agents to MultiMail for sending, reading, and managing email — with enterprise guardrails and configurable human oversight.

AWS Bedrock provides managed access to foundation models from multiple providers, along with Bedrock Agents for building agentic applications with tool use, knowledge bases, and guardrails. MultiMail gives Bedrock Agents the email infrastructure layer they need to send, receive, and manage email within the AWS ecosystem.

By integrating MultiMail with AWS Bedrock, enterprises get defense-in-depth for AI-initiated email: Bedrock Guardrails filter content at the model level, and MultiMail's oversight modes control send authorization. The default gated_send mode means your Bedrock Agent drafts emails but a human approves before delivery.

Connect Bedrock to MultiMail by defining email actions as Lambda-backed action groups in Bedrock Agents, or by using the Converse API with tool definitions that call the MultiMail REST API.

Why MultiMail

Built for AWS Bedrock developers

Defense-in-Depth for Enterprise

Bedrock Guardrails filter harmful content at the model level. MultiMail adds email-specific oversight on top — content safety from AWS, send authorization from MultiMail. Two independent safety layers for enterprise compliance.

Bedrock Agents Action Groups

Define MultiMail email operations as action groups in Bedrock Agents. Each action group maps to a Lambda function that calls the MultiMail API, giving your agent structured email capabilities.

Multi-Model Support

Bedrock provides access to Claude, Llama, Mistral, and other models. Test different models for email quality while keeping the same MultiMail integration — switch the model ID without changing your action groups.

Audit Trail and Compliance

MultiMail's comprehensive audit logs complement AWS CloudTrail. Together, they provide end-to-end traceability for every AI-initiated email action, satisfying enterprise governance requirements.

Graduated Trust via Oversight Modes

Start with gated_send (agent composes, human approves) and progress to autonomous as trust builds. MultiMail's oversight modes align with enterprise change management processes.

Try it

Try it with your agent

No code, no dashboard. Paste this to your AI agent — it connects MultiMail, creates an inbox, and builds the flow for you.

1. Read https://multimail.dev/llms.txt, connect the MultiMail MCP server, create a free inbox for this agent, and set up a verified sending domain. Ask me for any account, domain, DNS, AWS, or recipient details you need. 2. In Amazon Bedrock Agents, wire MultiMail in through an action group. Define the email actions with a function details schema or an OpenAPI schema, and fulfill them with AWS Lambda or return control to my application. The fulfillment layer must call the connected MultiMail MCP tools, not direct MultiMail HTTP endpoints. 3. Give the Bedrock agent three capabilities: inbox-check to read and summarize new mail from the MultiMail inbox, draft-reply to compose a proposed response without sending, and send to send or schedule email only through MultiMail. 4. Send a test email from the verified MultiMail sender to a recipient I approve, then check the inbox and report whether the send and receive flow worked. 5. Run MultiMail in gated_send oversight mode for this setup. Before any real email is sent or scheduled, show me the recipient, subject, body, and timing, then wait for my explicit approval.
Getting started

Step by step

1

Create a MultiMail Account and API Key

Sign up at multimail.dev, create a mailbox, and generate an API key. Store the key in AWS Secrets Manager for secure access from Lambda functions.

2

Install Dependencies

Install boto3 and requests for the Converse API approach, or set up a Lambda function for the Bedrock Agents approach.

3

Define Email Tools or Action Groups

For the Converse API, define toolSpec objects for email operations. For Bedrock Agents, create an OpenAPI schema and Lambda function for email action groups.

4

Build and Test the Agent

Implement the agent loop using the Converse API, or configure your Bedrock Agent with email action groups and test via the Bedrock console.

5

Approve Pending Emails

If your mailbox uses gated_send mode (the default), review and approve pending emails in the MultiMail dashboard before they are delivered.

FAQ

Common questions

Should I use Bedrock Agents or the Converse API?
Use Bedrock Agents for managed agent deployments with built-in memory, knowledge bases, and guardrails. Use the Converse API for custom agent implementations where you control the loop. Both approaches work well with MultiMail's email tools.
How do Bedrock Guardrails interact with MultiMail's oversight?
They work as independent safety layers. Bedrock Guardrails filter harmful or off-topic content at the model level before tool calls are generated. MultiMail's oversight modes control whether emails are actually sent — gated_send queues them for human approval regardless of guardrail status.
What happens when my agent sends an email in gated_send mode?
In gated_send mode, the MultiMail API returns a success response with a pending status. The email is queued for human review in the MultiMail dashboard. Once approved, it is delivered. Your agent can check the status of pending emails using the list_pending endpoint.
How do I store the MultiMail API key securely in AWS?
Store the API key in AWS Secrets Manager and retrieve it at runtime from your Lambda function or application code. Never hardcode the key in your Bedrock Agent configuration or Lambda code. Use IAM roles to control access to the secret.
Is there rate limiting on the MultiMail API?
Rate limits depend on your plan tier. The Starter (free) plan allows 200 emails per month, while paid plans range from 5,000 to 150,000. The API returns standard 429 responses when limits are reached, which your agent can handle with retry logic.
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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.

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