How to Use the Campaigner MCP in Google ADK

Q: Will Campaigner work with Google ADK long-context models?

The agent pulls full lists via listsubscribers and feeds them into the context window. Gemini processes the entire dataset without chunking.

Link Campaigner to Google ADK. Feed email metrics into Gemini agents and analyze marketing datasets using long-context reasoning.

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Connect Campaigner MCP to Google ADK

Create your Vinkius account to connect Campaigner 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 Campaigner with Google ADK

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Audience Segmentation with Google ADK

The `list_segments` and `list_publications` tools extract audience structures into your Google Cloud environment through this MCP integration. Gemini's massive context window swallows these definitions alongside your BigQuery customer tables. Finding specific users requires `get_subscriber`. Your ADK agent cross-checks the returned email profiles against Vertex AI predictions to determine churn risk.

Campaign Performance Sync

Grabbing send results is the job of `get_campaign_stats`. The MCP Server feeds open and click data straight to your LLM. You write scripts that map these stats directly into your data warehouse. Listing historical blasts works via `list_campaigns` and `get_campaign`. The agent reads the subject lines and delivery times to identify patterns in user engagement.

Automated Subscriber Onboarding

Adding new leads happens through `create_subscriber`. When a user interacts with your chat interface, the agent pushes their contact info into the marketing platform. Manual data entry is dead. Verifying the setup uses `get_account_info` and `list_workflows`. You confirm the account limits are healthy and the welcome sequences are active before routing traffic.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Campaigner. 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 Campaigner MCP in Google ADK

Create an MCP toolset using StreamableHttpServerParameters. Hand that object to your LlmAgent in the tools array. You restrict access using the tool_names filter.

The agent pulls full lists via list_subscribers and feeds them into the context window. Gemini processes the entire dataset without chunking.

Your agent acts as the bridge. It fetches engagement stats from the marketing backend and writes the results into your cloud tables.

The ADK catches the HTTP transport error. Your agent receives the failure context and attempts a retry or alerts the monitoring system.

Audience segments and email addresses route through ephemeral sandboxes. Vinkius drops the connection state after execution. Your Google Cloud environment retains strict boundary control.

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