How to Use the Brevo MCP in Mastra AI

Q: How do I configure Brevo retries in Mastra AI?

You define a workflow step that calls createemailcampaign and set the retry configuration directly in the step options. The framework handles the backoff timing automatically.

Q: Can Mastra AI agents search my Brevo lists?

Yes, your agent can call listcontactlists to find the correct list ID before adding new subscribers. This keeps your workflows dynamic and self-correcting.

Q: How do I handle tool approvals for Brevo in Mastra AI?

You register the server tools with your agent and set requireToolApproval to true for critical actions like sendemail. This pauses execution until a human confirms the payload.

Build resilient, self-healing Brevo marketing workflows with Mastra AI and automated retries.

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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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Setup Brevo with Mastra AI

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Fail-safe campaign dispatching

You can build workflows that safely execute `create_email_campaign` even when the target API is experiencing high latency via this MCP Server. Mastra AI uses its built-in workflow engine to catch network errors and retry the call with exponential backoff automatically. If the campaign creation still fails after multiple attempts, the workflow branches to notify your team. You do not have to write custom loop logic or error-handling code to keep your marketing pipeline moving.

Automated contact list syncing with Mastra AI

Keep your databases aligned by running workflows that call `list_contacts` and update your internal systems on a schedule. The framework lets you chain these data fetches directly into your custom business logic. Because this runs inside a dedicated agent workflow, you can add conditional branches. For example, if a contact is missing a phone number, the agent can look it up before invoking `create_contact` via the MCP.

Human-in-the-loop campaign approval

Protect your brand by requiring human approval before your agent executes `send_email` to your entire list. Mastra AI supports `requireToolApproval`, which pauses the workflow and sends a notification to your Slack. Once a team member clicks approve, the workflow resumes and calls the MCP Server to dispatch the message. It gives you the power of autonomous agents without the risk of rogue emails going out.

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

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

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

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-alternative-mcp-client",
  servers: {
    "brevo-alternative-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);

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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.

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Common questions about Brevo MCP in Mastra AI

You define a workflow step that calls `create_email_campaign` and set the retry configuration directly in the step options. The framework handles the backoff timing automatically.

Yes, your agent can call `list_contact_lists` to find the correct list ID before adding new subscribers. This keeps your workflows dynamic and self-correcting.

You register the server tools with your agent and set `requireToolApproval` to true for critical actions like `send_email`. This pauses execution until a human confirms the payload.

Yes, the framework auto-detects SSE and Streamable HTTP transports. You simply pass the endpoint URL to the client constructor and it handles the connection.

Your API keys and contact list metadata are isolated within Vinkius's zero-trust MCP Server sandbox. The agent framework only receives the final tool output over an encrypted channel.

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