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How to Use the Brevo MCP in Mastra AI

Build resilient multi-step Brevo marketing workflows with Mastra AI and automatic error retries.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Brevo MCP to Mastra AI

Create your Vinkius account to connect Brevo to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automated error handling with Mastra AI

The `send_transactional_email` tool acts as the final step in your automated billing workflows using this MCP Server. If the email bounces or the Brevo API times out, Mastra AI uses its built-in retry engine with exponential backoff to try again. You can build conditional branches that switch to `send_transactional_sms` if the email fails. This ensures your critical alerts reach the user's phone without writing manual try-catch loops in your code.

Branching CRM contact updates

The `update_contact_attributes` tool synchronizes user metadata whenever a payment event occurs. Mastra AI evaluates the payload, checks the user's status, and updates their Brevo profile with the correct tier. If the contact doesn't exist, the workflow branches to `create_crm_contact` first. The framework handles this sequence autonomously, keeping your marketing lists clean without manual intervention.

Automated list curation

The `create_contact_list` tool builds fresh target segments based on live database queries. Your agent runs a cron job, identifies inactive users, and groups them into a new Brevo folder automatically. Use `list_contact_folders` to verify existing lists before creating duplicates. This keeps your CRM tidy and prevents your marketing team from sending overlapping campaigns.

Setup guide

Set up Brevo MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Brevo tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "brevo-mcp-client",
  servers: {
    "brevo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Brevo Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Brevo tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Brevo transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Brevo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Brevo MCP in Mastra AI

You expose `send_transactional_sms` as a tool to your Mastra AI agent. The workflow engine executes the tool, passing the 164-formatted phone number and message payload directly to the Brevo API.
Yes, you can design a workflow that calls `get_contact_attributes` first. If the contact is missing, Mastra AI branches to execute `create_crm_contact` before continuing your automation.
You deploy your agent to any cloud provider using Mastra's CLI. The agent connects to the hosted Brevo MCP server on Vinkius via an SSE transport, meaning you don't need to bundle the API client code.
The `send_transactional_email` tool will return an error if the domain is unverified. You can configure Mastra to catch this specific error and route the notification to an admin Slack channel instead.
Your API keys and phone numbers are encrypted both in transit and at rest. Mastra AI communicates with the MCP server over secure TLS, and Vinkius runs the process in a zero-trust sandbox that never persists your contact data.

Start using the Brevo MCP today

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