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How to Use the VBOUT MCP in Google ADK

Act on campaign data using the Google ADK framework.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect VBOUT MCP to Google ADK

Create your Vinkius account to connect VBOUT 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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Discover and manage lists

Start by viewing all available email marketing lists with `list_email_lists`. You can then pull specific contact details for any person using `get_contact`. If you need to onboard a new lead, the agent handles it via `add_contact`, which requires an email and a list ID.

Execute marketing actions

Need to get content out there? The `create_social_post` tool lets your agent draft and schedule social media updates. It also calls the `add_ecommerce_order` tool when a sale comes through. When ready, you can initiate targeted outreach by running workflows using `trigger_workflow`.

Search for specific clients

The `search_contacts` function lets the agent filter your entire database to find who you're looking for. It’s much faster than manual searching. For a full picture, listing available marketing campaigns through `list_campaigns` gives you immediate context on current efforts.

Setup guide

Set up VBOUT 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 VBOUT 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="VBOUT_agent",
    model="gemini-2.0-flash",
    instruction="You have access to VBOUT 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 VBOUT. 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 VBOUT MCP in Google ADK

The Google ADK treats the MCP Server as a callable toolset. Your agent can call functions like `list_campaigns` directly, integrating marketing automation into your BigQuery data streams.
You can use the `get_contact` tool to pull full contact details. Additionally, if you need to look for multiple people, the `search_contacts` function works perfectly.
The agent calls `trigger_workflow`, passing all necessary parameters. This immediately runs a defined workflow for a specific contact, acting on the data stored in your cloud infrastructure.
Yep. Use `add_contact` with an email and list ID. This lets your agent onboard new people directly into VBOUT's marketing lists, keeping everything synced.
This server touches contact records (email, name), e-commerce order details, and list membership. The agent handles these actions within your secure Google Cloud environment.

Start using the VBOUT MCP today

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Built & Managed by Vinkius 30s setup 9 tools

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

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