How to Use the Brevo Alternative MCP in AutoGen

Q: How do I register the Brevo Alternative tools in AutoGen?

Install the extension using pip install -U "autogen-extmcp". Use mcpservertools with your Vinkius HTTP URL to load the tools into your AssistantAgent.

Q: How does AutoGen handle the schema for this Brevo Alternative?

The McpToolAdapter in the AutoGen extension automatically handles the schema conversion, turning the server's tools into standard AutoGen tool definitions.

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Connect Brevo Alternative MCP to AutoGen

Create your Vinkius account to connect Brevo Alternative 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 Alternative with AutoGen

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Let AutoGen agents debate your email campaigns

AutoGen lets you set up a multi-agent conversation to review campaigns before they go live. A marketing agent drafts the campaign using `create_email_campaign`, while a compliance agent reviews the content against brand standards. They negotiate changes directly in the chat. Once they reach a consensus, a final executor agent calls `send_email_campaign_now` to push the campaign live.

Consensus-driven list cleaning with this MCP Server

Use this MCP Server to let multiple agents coordinate list cleanup. One agent reads contact records using `list_contacts`, while another checks activity logs with `get_account_activity` to flag inactive users. The agents discuss whether to remove or re-engage these users. Once they agree, they run `update_contact` to update attributes or `delete_contact` to purge dead addresses.

Multi-channel delivery defense

Set up a group chat where agents monitor delivery issues. When a transactional email fails, a monitoring agent flags the event from `get_email_statistics_events`. A routing agent then debates the best backup channel with a messaging agent. They quickly agree on the next step and execute `send_transactional_sms` or `send_whatsapp_message` to ensure delivery.

Setup guide

Set up Brevo Alternative 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 Alternative 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 Alternative_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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 Alternative_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Brevo Alternative 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 Alternative MCP in AutoGen

Install the extension using `pip install -U "autogen-ext[mcp]"`. Use `mcp_server_tools` with your Vinkius HTTP URL to load the tools into your `AssistantAgent`.

Yes, agents can discuss campaign strategy or template selection before any agent executes `create_email_template` or sends a message.

The `McpToolAdapter` in the AutoGen extension automatically handles the schema conversion, turning the server's tools into standard AutoGen tool definitions.

Yes. You can connect to this server using either standard input/output or Streamable HTTP transports depending on your hosting setup.

All operations run in an isolated V8 sandbox. Your API keys, contact phone numbers, and WhatsApp message logs are processed in ephemeral memory and never touch persistent storage.

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