How to Use the Brevo MCP in AutoGen
Let AutoGen agents debate and coordinate campaign strategies using Brevo tools.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Coordinate Brevo CRM updates using AutoGen agents
The `create_crm_contact` tool lets your AutoGen agents add new leads to Brevo after they agree on the lead's quality. A qualification AutoGen agent checks the data, a compliance agent reviews it, and they run this Brevo tool once they reach consensus. If they need to modify an existing Brevo profile, they use `update_contact_attributes` to apply changes within the AutoGen conversation. This multi-agent verification prevents bad data from entering your Brevo marketing database.
Deploy Brevo lists via AutoGen consensus
The `create_contact_list` tool allows your AutoGen agent group to set up new Brevo marketing folders. One AutoGen agent proposes the list structure, while another uses `list_contact_folders` to verify it doesn't conflict with existing Brevo setups. This collaborative approach ensures your Brevo lists are clean before AutoGen executes the creation. Once they agree, the list is created, and Brevo contacts are sorted automatically.
Send Brevo transactional alerts with AutoGen safety
The `send_transactional_email` tool lets your AutoGen agents send automated messages after a safety agent signs off using the MCP Server. This prevents unauthorized Brevo emails from going out during autonomous AutoGen runs. For mobile alerts, they use `send_transactional_sms` to dispatch Brevo SMS messages to cell hardware. Because multiple AutoGen agents verify the recipient's phone format, you bypass delivery failures entirely.
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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Brevo tools and returns structured results.
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) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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) 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.
Why Choose Vinkius
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Common questions about Brevo MCP in AutoGen
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