How to Use the Brevo MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK create Brevo campaigns?

Yes. The agent uses the createemailcampaign tool to generate new outreach efforts. You need to provide the campaign parameters in the tool call.

Manage your marketing stack directly in the OpenAI Agents SDK with this MCP server.

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Connect Brevo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Brevo to OpenAI Agents 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 OpenAI Agents SDK

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Trigger campaigns in OpenAI Agents SDK

Your agent can fire off transactional messages without leaving the Python runtime. It uses `send_email` to push updates or receipts to your customers. Define your logic in your agent's system prompt. The SDK will handle the execution flow while you keep an eye on the dashboard.

Pull contact data for OpenAI Agents SDK

Stop jumping between tabs to find lead info. Your agent calls `get_contact` to pull specific details into its current context. You can also run `list_contacts` to get a full view of your database. This keeps your agent informed with real-time data.

Monitor performance in OpenAI Agents SDK

Check how your marketing efforts are landing by invoking `get_smtp_statistics`. This gives your agent the raw numbers on delivery rates. Feed these metrics back into your agent's decision tree. It can then adjust future messaging based on hard facts from your account.

Setup guide

Set up Brevo MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Brevo tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Brevo tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Brevo tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Brevo Agent",
            instructions="You have access to Brevo tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Brevo MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point the SDK at your Vinkius endpoint. Pass the server instance into your agent's tool list to make the functions available.

Yes. The agent uses the `create_email_campaign` tool to generate new outreach efforts. You need to provide the campaign parameters in the tool call.

Vinkius handles the authentication layer so your credentials never touch the agent's memory. The server only exposes the functions you allow.

The SDK catches the error and reports it in your execution trace. You can then debug the specific API response directly in your console.

No. The server acts as a pass-through that only touches contact records when your agent requests them. It does not cache your PII on Vinkius servers.

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