Brevo MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Contact, Create Email Campaign, Get Account, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Brevo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Brevo app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Brevo, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Brevo MCP Server
Connect your Brevo account to any AI agent and take full control of your marketing automation and transactional communication workflows through natural conversation.
The Vercel AI SDK gives every Brevo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Contact Orchestration — List and manage your contact database programmatically, retrieving detailed high-fidelity profiles and synchronizing custom attributes in real-time
- Campaign Intelligence — Create and monitor high-fidelity email marketing campaigns and retrieve detailed performance reports directly through your agent
- Transactional Messaging — Programmatically dispatch single transactional emails via Brevo SMTP to ensure perfectly coordinated customer notifications
- Audience Discovery — Access complete directories of contact lists and manage segmentations to maintain high-fidelity targeting for your digital outreach
- Operational Monitoring — Access account-level metadata, verified senders, and real-time SMTP delivery statistics for instant operational reporting
The Brevo MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Brevo tools available for Vercel AI SDK
When Vercel AI SDK connects to Brevo through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, transactional-email, contact-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new contact
Create an email campaign
Get Brevo account details
Get details for a specific contact
Get details for a specific list
Get SMTP delivery statistics
List contact lists
List Brevo contacts
List email campaigns
List approved senders
Send a transactional email
Connect Brevo to Vercel AI SDK via MCP
Follow these steps to wire Brevo into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Brevo MCP Server
Vercel AI SDK provides unique advantages when paired with Brevo through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Brevo integration everywhere
Built-in streaming UI primitives let you display Brevo tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Brevo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Brevo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Brevo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Brevo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Brevo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Brevo through natural language queries
Example Prompts for Brevo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Brevo immediately.
"List all active contacts in my Brevo database."
"Send a transactional email to 'test@example.com' with subject 'Order Confirmed'."
"Show my email campaign engagement statistics."
Troubleshooting Brevo MCP Server with Vercel AI SDK
Common issues when connecting Brevo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBrevo + Vercel AI SDK FAQ
Common questions about integrating Brevo MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.