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How to Use the Brevo MCP in Google ADK

Run your marketing automation on Google ADK using this MCP server.

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…and any MCP-compatible client

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Google ADK

Connect Brevo MCP to Google ADK

Create your Vinkius account to connect Brevo to Google ADK 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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Manage lists via Google ADK

Your agent can organize your audience by calling `list_contact_lists`. It helps you segment users before you trigger a new outreach sequence. Pulling these lists into your agent's context allows for smarter targeting. It turns raw data into actionable groups.

Check sender identity in Google ADK

Ensure your emails come from the right address by querying `list_senders`. This avoids errors when you have multiple domains configured. Your agent checks these identities before it initiates any outgoing communication. It stops bad requests before they hit the API.

Access account state in Google ADK

Keep your agent updated on your current limits and status with `get_account`. It provides the telemetry needed to manage your infrastructure. Use this data to build logic that pauses actions if your account hits a threshold. It keeps your agent operating within your specific bounds.

Setup guide

Set up Brevo MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Brevo tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Brevo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Brevo tools via MCP.",
    tools=mcp_tools,
)

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Brevo MCP in Google ADK

Use the McpToolset class within your agent setup. Point the server parameters to your Vinkius URL to expose the toolset.
It does. Simply invoke the `send_email` tool through the McpToolset. Your agent will handle the payload construction.
You can use the tool_names argument in your McpToolset configuration. This restricts the agent to only the functions you choose to expose.
The connection uses high-speed HTTP transports. It remains responsive even when dealing with large lists of contacts.
Vinkius isolates every session in a sandbox. The server never persists your customer contact lists or email addresses between requests.

Start using the Brevo MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Brevo. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

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