How to Use the Brevo MCP in Vercel AI SDK

Q: How do I stream Brevo contact lists into my Vercel AI SDK app?

You call listcontactfolders within your tool definitions to retrieve the folders. The Vercel AI SDK then streams the folder names directly to your frontend components so users see their segments load in real-time.

Q: Can I use the Vercel AI SDK to send bulk transactional emails via Brevo?

Yes, you can pass sendtransactionalemail to the SDK's tool calling parameter. The language model generates the template variables and triggers the dispatch through the Vercel AI SDK using this MCP Server.

Q: Do I need to configure DKIM when using this server?

Yes, the sendtransactionalemail tool requires verified domains to prevent bounces. Make sure your domain is set up in your Brevo dashboard before running the tool.

Feed live Brevo CRM updates and transactional emails directly into your Next.js UI using the Vercel AI SDK.

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Connect Brevo MCP to Vercel AI SDK

Create your Vinkius account to connect Brevo to Vercel AI SDK 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 Vercel AI SDK

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Live UI updates via Vercel AI SDK and MCP Server

The `get_contact_attributes` tool pulls customer data from Brevo and pipes it straight to your user's screen. Instead of making users wait for a full page reload, the Vercel AI SDK streams the contact's metadata field-by-field as the model finds it. This means your React components render the email address, list memberships, and custom tags in real-time. You don't write complex loading states because the UI updates dynamically as the MCP client fetches the payload.

Direct transactional messaging from edge functions

The `send_transactional_email` tool transmits receipts and notifications directly from Vercel's edge network without cold starts. By pairing this with `send_transactional_sms`, your edge-rendered app dispatches phone alerts immediately after a user action. The model formats the 164-compliant phone strings and verified domains on the fly. Your edge function fires the request, and the SDK handles the streaming feedback loop so the user knows the message is on its way.

Instant CRM contact creation

The `create_crm_contact` tool registers new subscribers into your marketing pipeline during a live chat session. Your user types their email, and the SDK immediately triggers the contact creation without blocking the thread. You can also use `update_contact_attributes` to modify their profile as they chat. This keeps your Brevo database accurate without forcing developers to write custom API endpoints for every single form.

Setup guide

Set up Brevo MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Brevo tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Brevo transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

You call `list_contact_folders` within your tool definitions to retrieve the folders. The Vercel AI SDK then streams the folder names directly to your frontend components so users see their segments load in real-time.

Yes, you can pass `send_transactional_email` to the SDK's tool calling parameter. The language model generates the template variables and triggers the dispatch through the Vercel AI SDK using this MCP Server.

The SDK relies on the underlying MCP server hosted on Vinkius to queue requests. If your model calls `update_contact_attributes` too frequently, the server manages the API backoff to prevent your Next.js application from crashing.

Yes, the `send_transactional_email` tool requires verified domains to prevent bounces. Make sure your domain is set up in your Brevo dashboard before running the tool.

We never store your CRM contacts, email addresses, or API keys on our disks. The Vinkius sandbox executes the MCP server in an ephemeral container, passing the data directly to Brevo and wiping the session immediately after.

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