How to Use the Audienceful MCP in Google ADK

Q: Can Google ADK models search my Audienceful audience?

They use listpeople to filter your database by status or exact email match. The massive context window of Gemini easily absorbs the resulting data dumps.

Give your Google ADK agents direct access to the Audienceful MCP Server to sync BigQuery data with your email lists.

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Connect Audienceful MCP to Google ADK

Create your Vinkius account to connect Audienceful 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 Audienceful with Google ADK

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Sync BigQuery contacts to Audienceful

Pushing enterprise data into your newsletter requires the `create_person` and `update_person` tools. Gemini reads a massive table of new signups from your cloud data warehouse and feeds those emails into your marketing platform. Long-context reasoning allows the model to process thousands of rows before executing the batch updates. Retrieving specific profiles uses `get_person` when you supply a UID. If a customer churns, the agent triggers `delete_person` to scrub them from active campaigns. You connect everything by passing the MCP toolset directly to your Google agent configuration.

Structure subscriber properties

Defining new metadata attributes uses the `create_custom_field` tool. When your Google Cloud pipeline identifies a new user behavior metric, it automatically creates the corresponding field in your email platform. Checking existing structures happens via `list_custom_fields` to prevent duplicates. Cleaning up obsolete tags relies on `delete_custom_field`. The agent evaluates which properties haven't been touched recently and strips them out. You can restrict which of these operations are available using the tool filter in your setup.

Fire campaigns from Google ADK

Starting a drip sequence demands the `trigger_automation` tool. Your Vertex AI models detect a high-intent user action and immediately tell this MCP Server to launch a targeted email flow. The system requires zero manual intervention once deployed. Reviewing delivery metrics works through the `list_send_reports` tool. Gemini ingests the recent send data and cross-references it against your internal sales figures. Adding this MCP capability turns a basic chatbot into a fully autonomous marketing coordinator.

Setup guide

Set up Audienceful 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 Audienceful 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="Audienceful_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Audienceful tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Audienceful MCP in Google ADK

Install google-adk and initialize an McpToolset using your Vinkius HTTP URL. Assign that toolset to the tools array when building your agent.

They use list_people to filter your database by status or exact email match. The massive context window of Gemini easily absorbs the resulting data dumps.

No. The MCP standard handles the entire API translation layer. Your Google Cloud agents just call the exposed functions natively.

The framework supports both Stdio and HTTP transports. Vinkius provides a secure endpoint token for the HTTP connection.

Every request runs through an ephemeral Vinkius container that vaporizes immediately after execution. Your subscriber emails and custom field definitions flow through a strict zero-trust architecture. We never cache your marketing metrics.

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