Connect Vertex AI's Gemini models and Agent Builder to MultiMail for sending, reading, and managing email — with enterprise governance and human oversight.
Google Cloud's Vertex AI provides enterprise access to Gemini models along with Agent Builder for creating grounded agents with tool use and security controls. MultiMail gives Vertex AI agents the email infrastructure layer they need to send, receive, and manage email within the GCP ecosystem.
By integrating MultiMail with Vertex AI, enterprises get compliance-ready email capabilities for their AI agents. Vertex AI's IAM controls handle model access, and MultiMail's oversight modes handle send authorization. The default gated_send mode means your agent drafts emails but a human approves before delivery.
Connect Vertex AI to MultiMail by defining email functions using Vertex AI's function calling format, or by configuring email tools as extensions in Vertex AI Agent Builder.
Vertex AI's enterprise focus requires compliance-ready integrations. MultiMail's oversight modes and audit trails satisfy GCP enterprise customers' requirements for AI governance in email communications.
Vertex AI provides access to Gemini models with function calling. Define MultiMail email operations as function declarations with typed parameters that Gemini fills reliably.
Vertex AI Agent Builder supports custom tools and extensions. Configure MultiMail email operations as tools in your Agent Builder agent for managed, scalable email agent deployments.
Start with gated_send (agent composes, human approves) and progress to autonomous as trust builds. MultiMail's oversight modes align with enterprise rollout strategies for AI capabilities.
MultiMail complements existing GCP services. Use Cloud Functions or Cloud Run for tool execution, Secret Manager for API key storage, and Cloud Logging for end-to-end observability.
No code, no dashboard. Paste this to your AI agent — it connects MultiMail, creates an inbox, and builds the flow for you.
Sign up at multimail.dev, create a mailbox, and generate an API key. Store it in Google Secret Manager for secure access.
Install the Vertex AI SDK and requests library for calling the MultiMail API.
Configure the Vertex AI SDK with your GCP project and region. Define email function declarations for Gemini's tool use.
Create a GenerativeModel with email tools and implement the chat-based agent loop with function call handling.
If your mailbox uses gated_send mode (the default), review and approve pending emails in the MultiMail dashboard before they are delivered.
Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a hosted MCP server. Formally verified in Lean 4.