How to Use the Brevo Alternative MCP in Google ADK

Q: Can Google ADK agents analyze historical logs from this Brevo Alternative?

Yes, Gemini uses its long context to read output from getemailstatisticsevents and spot delivery trends. The model processes thousands of log lines to optimize your sending times.

Q: How do I filter tools to prevent accidental sends?

You define a toolnames filter when setting up the McpToolset in your Python code. This limits the agent to harmless tools like listcontacts while blocking raw send commands.

Connect Gemini's 1M token context to Google ADK to analyze BigQuery leads and trigger Brevo Alternative campaigns instantly.

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Connect Brevo Alternative MCP to Google ADK

Create your Vinkius account to connect Brevo Alternative 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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Setup Brevo Alternative with Google ADK

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Trigger campaigns from BigQuery data using Google ADK

`create_email_campaign` links your enterprise BigQuery datasets directly to your transactional messaging channels. Your Gemini agent parses millions of customer rows, identifies high-value segments, and drafts targeted campaigns. By using this MCP Server, your agent acts on your database insights without manual export steps. This setup eliminates the lag between data analysis and execution. Gemini's massive context window reads whole tables and immediately calls `send_email_campaign_now` with highly personalized content. You run enterprise-scale outreach directly from your Google Cloud environment.

Omnichannel messaging via Gemini agents

`send_transactional_sms` enables your Google ADK agents to dispatch urgent alerts across multiple mobile channels. When an operational event occurs in your system, the agent decides whether to send an SMS or run `send_whatsapp_message`. This decision happens dynamically based on user preferences stored in your database. You monitor all mobile outreach performance directly through `get_sms_statistics_reports`. If delivery rates dip, your agent detects the trend and flags it for your team. You get an autonomous communication manager that adapts to delivery conditions in real time.

Automated template and domain management

`create_email_template` lets your Gemini agent design, test, and store new transactional layouts on the fly. The agent drafts HTML, registers it, and uses `list_email_templates` to manage your active assets using this automated MCP toolset to manage the lifecycle. Domain verification is handled programmatically using `register_domain` to prepare new sending sources. Your agent checks status updates via `list_domains` to ensure everything is authenticated before sending. You scale your sending infrastructure without touching a dashboard.

Setup guide

Set up Brevo Alternative 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

Install Google ADK

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

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

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 Alternative 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 Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Brevo Alternative tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Brevo Alternative MCP in Google ADK

You initialize the McpToolset with the server's HTTP endpoint and pass it to your LlmAgent. Your Gemini models instantly gain access to all MCP tools.

Yes, Gemini uses its long context to read output from `get_email_statistics_events` and spot delivery trends. The model processes thousands of log lines to optimize your sending times.

Yes, the integration runs within Vinkius's secure MCP sandbox to guarantee data isolation. Your enterprise marketing lists and API credentials never leak into public LLM training sets.

You define a tool_names filter when setting up the McpToolset in your Python code. This limits the agent to harmless tools like `list_contacts` while blocking raw send commands.

Your customer email addresses, phone numbers, and WhatsApp message logs flow directly between Google Cloud and the messaging API. The Vinkius MCP server acts as an ephemeral, zero-trust bridge that retains zero personal data.

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