How to Use the Aimtell MCP in Google ADK

Q: Can Google ADK models analyze campaign performance data from Aimtell?

Yes, your agent calls getcampaignperformance to fetch raw click and delivery stats. Gemini then processes these metrics alongside your BigQuery analytics to generate performance reports.

Q: How does the agent handle subscriber segmentation?

The agent uses listsegments to retrieve your existing target groups. It can then assign users to these groups based on behavioral data processed in Vertex AI.

Feed BigQuery insights directly into web push campaigns using Google ADK and Gemini long-context models.

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Connect Aimtell MCP to Google ADK

Create your Vinkius account to connect Aimtell 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 Aimtell with Google ADK

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Connect Google ADK data to push campaigns

`list_subscribers` retrieves your current audience list so your Gemini agent can cross-reference it with BigQuery tables. This lets you align your cloud data warehouse with your active push subscribers. Your agent handles large datasets easily because of the massive context window. You can pass thousands of subscriber records to the model without running out of memory.

Manage automated push triggers via MCP Server

`list_triggered_campaigns` reveals your automated web push workflows directly inside your Google Cloud environment. Your agent analyzes these active triggers to ensure they match your enterprise marketing goals. Vertex AI workflow tools can then decide to modify subscriber attributes or pause specific campaigns based on live cloud events. This MCP setup connects your backend infrastructure directly to user-facing notifications.

Audit site configurations programmatically

`list_sites` displays all web properties currently managed under your push notification account. Your agent uses this tool to verify that tracking scripts and push configurations are active across your domains. Integrating this with your cloud monitoring tools gives you a single dashboard for domain health. You don't have to jump between consoles to confirm your sites are ready for campaigns.

Setup guide

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

Initialize the toolset using the server URL in your Python code. Pass the resulting toolset object directly to your LlmAgent instance to let Gemini access your push data.

Yes, your agent calls `get_campaign_performance` to fetch raw click and delivery stats. Gemini then processes these metrics alongside your BigQuery analytics to generate performance reports.

Yes, you can restrict exposure by passing a list of allowed tool names to the toolset. This ensures your agent only accesses specific tools like `list_segments` while blocking destructive actions.

The agent uses `list_segments` to retrieve your existing target groups. It can then assign users to these groups based on behavioral data processed in Vertex AI.

Data transmission is protected by ephemeral Vinkius sandboxes that isolate your API keys. No subscriber attributes or push payloads are cached or stored on the hosting platform.

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