Brevo MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Create Contact, Create Email Campaign, Get Account, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Brevo through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Brevo app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"brevo-alternative": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Brevo Agent",
instructions:
"You help users interact with Brevo " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Brevo?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Brevo tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire Brevo into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Brevo MCP Server
Mastra AI provides unique advantages when paired with Brevo through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Brevo without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Brevo tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Brevo + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Brevo MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Brevo, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Brevo as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Brevo on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Brevo tools alongside other MCP servers
Example Prompts for Brevo in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Brevo to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBrevo + Mastra AI FAQ
Common questions about integrating Brevo MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.