Can I format the transactional emails organically via prompt?

Absolutely. Using the `send_transactional_email` operation, the AI dynamically renders the HTML body from your specific text instructions or leverages pre-made numeric Brevo templates.

Is it possible to assign custom CRM attributes when creating a contact?

Yes. The `create_contact` tool exposes a JSON parameter block mapping fields perfectly (like FIRSTNAME, LASTNAME, CITY) directly alongside their assigned inclusion lists.

Are the SMS dispatched globally?

Yes! Brevo's massive routing handles global cellular numbers, and the `send_sms` command executes that payload identically as long as your Brevo account remains credit-funded and active.

Brevo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Brevo
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Brevo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Brevo Assistant",
            instructions=(
                "You help users interact with Brevo. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Brevo"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 (formerly Sendinblue) account to any AI agent and execute marketing operations and crucial transactional workflows via natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Brevo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Brevo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Transactional Emails — Send richly formatted HTML or template-based alerts instantly on demand
SMS Dispatch — Fire immediate SMS campaigns and notifications globally to verified phone numbers
Contacts & CRM — Seamlessly create new user profiles, map attributes, and assign lists structurally

The Brevo MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Brevo to OpenAI Agents SDK via MCP

Follow these steps to integrate the Brevo MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Brevo

Why Use OpenAI Agents SDK with the Brevo MCP Server

OpenAI Agents SDK provides unique advantages when paired with Brevo through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Brevo + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Brevo MCP Server delivers measurable value.

Automated workflows: build agents that query Brevo, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Brevo, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Brevo tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Brevo to resolve tickets, look up records, and update statuses without human intervention

Brevo MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Brevo to OpenAI Agents SDK via MCP:

create_contact_list

Create a new empty audience list folder for organizing campaigns in Brevo

create_crm_contact

Create a new contact record within the Brevo CRM

delete_crm_contact

Permanently delete a CRM contact profile conforming to database compliance

get_contact_attributes

Retrieve specific profile attributes and metadata for a given contact email

get_smtp_account_details

Retrieve the current Brevo account status, plans, and quota mappings

list_contact_folders

Retrieve all contact lists and campaign segments structured in the CRM

list_crm_contacts

List all contacts stored in the Brevo CRM

send_transactional_email

Needs absolute mapped verified domains to avoid DKIM failure bouncing. Send a transactional email payload via the Brevo SMTP API

send_transactional_sms

164 phone formats via `/transactionalSMS/sms` successfully bypassing web clients. Dispatch an automated transactional SMS directly to cellular hardware

update_contact_attributes

Update custom attributes or metadata parameters for a specific CRM contact

Example Prompts for Brevo in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Brevo immediately.

"Send a transactional email to test@domain.com saying hello."

"Create contact john.doe@mail.com and map their name as John."

"Can you text message 'Server requires reboot' to my admin phone?"

Troubleshooting Brevo MCP Server with OpenAI Agents SDK

Common issues when connecting Brevo to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Brevo + OpenAI Agents SDK FAQ

Common questions about integrating Brevo MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.