How to Use the Aventri MCP in Google ADK

Q: How do I configure the Aventri MCP Server with Google ADK?

Initialize the McpToolset with the Vinkius HTTP URL in your Python code. Pass this toolset to your LlmAgent to expose tools like cloneevent.

Connect Aventri to Google ADK to analyze event data in BigQuery and update contacts using Gemini long-context reasoning.

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Connect Aventri MCP to Google ADK

Create your Vinkius account to connect Aventri 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 Aventri with Google ADK

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Sync BigQuery datasets with Aventri via Google ADK

Pull offline lead lists from Google Cloud and push them directly to Aventri. Your Gemini agent uses `add_pre_load` and `add_pre_approved` to prepare registration databases without manual CSV uploads. The Google ADK toolset feeds these records directly to the model. Because Gemini handles massive context windows, it checks thousands of rows against `list_contacts` in a single run using the MCP Server.

Audit massive event histories using Gemini

Run deep audits across years of event records. By executing `list_events` and `search_events`, the agent builds a complete map of your marketing history. This MCP Server exposes raw event structures directly to your enterprise pipeline. The model identifies empty fields or duplicate setups in seconds.

Coordinate speaker profiles across Google Cloud

Update your speaker directories directly from internal Vertex AI databases. The agent calls `list_speakers` to find discrepancies and then updates details using `create_speaker`. Google ADK manages the transport layer to keep these calls fast. You get instant updates on `get_speaker` requests without leaving your Google Cloud console.

Setup guide

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

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Common questions about Aventri MCP in Google ADK

Write a Python script that loads your BigQuery table and passes the rows to your agent. The agent then calls `add_contact` for each record.

Configure execution limits in the ADK transport settings. This prevents Gemini from spamming `update_contact` during large sync jobs.

Initialize the `McpToolset` with the Vinkius HTTP URL in your Python code. Pass this toolset to your `LlmAgent` to expose tools like `clone_event`.

Yes, use the tool name filter in your Python setup. This lets you restrict access to sensitive write tools like `delete_contact`.

Yes, all API traffic runs through encrypted endpoints. Your contact records and speaker details are processed in memory and never stored on disk.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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