How to Use the Brevo MCP in AutoGen

Q: How do AutoGen agents resolve conflicts when sending a Brevo email?

The sender agent proposing sendemail must satisfy the validation agent's checks on listsenders before the system allows the tool execution.

Q: Can I limit which AutoGen agents have access to Brevo tools?

Yes. You can register specific tools like createcontact only to your database manager agent, keeping the writer agent restricted.

Let your AutoGen agents debate and coordinate Brevo email campaigns and contact updates.

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Connect Brevo MCP to AutoGen

Create your Vinkius account to connect Brevo to AutoGen 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 AutoGen

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Multi-agent consensus with AutoGen for Brevo campaigns

Set up an AutoGen writer agent to draft campaigns using `create_email_campaign` while a compliance agent reviews the setup. The compliance agent calls `list_senders` to ensure only approved domains are used before giving the green light. This MCP Server setup ensures that no campaign is created without multi-agent agreement. Your AutoGen agents debate the layout and target audience before executing the tool.

Automated audience verification via AutoGen debate

Your AutoGen data agent fetches contact profiles using `get_contact` while a validation agent cross-references the list via `get_contact_list`. They negotiate whether a contact meets the criteria before calling `create_contact`. Integrating this MCP Server gives your AutoGen team the ability to clean lists autonomously. If the validation agent flags a bad email, the team rejects the update before it hits your database.

Multi-agent monitoring of SMTP performance

An AutoGen analyst agent monitors delivery rates using `get_smtp_statistics` and reports to an operations agent. The operations agent decides whether to pause transactional sends or trigger `send_email` for fallback alerts. This collaborative setup keeps your delivery rates healthy. The agents work together, analyzing account limits via `get_account` to optimize your daily send volume.

Setup guide

Set up Brevo MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Brevo tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Brevo_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Brevo data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Brevo_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Brevo data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

The sender agent proposing `send_email` must satisfy the validation agent's checks on `list_senders` before the system allows the tool execution.

Yes. You can register specific tools like `create_contact` only to your database manager agent, keeping the writer agent restricted.

A planning agent drafts the schedule, and a budget agent calls `get_account` to confirm credits before executing `create_email_campaign`.

It uses the standard Streamable HTTP transport, letting your multi-agent system connect to Vinkius via a single secure token.

Yes. All data processed by this MCP Server, including SMTP stats and contact emails, is protected by end-to-end encryption. The execution environment is completely isolated, preventing any data leaks between agents.

Use it with your favorite AI tools

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