How to Use the BoomTown (OvationCXM) MCP in Google ADK

Q: Can I filter BoomTown (OvationCXM) tools in Google ADK?

You can use a toolnames filter to restrict what your agent sees. It keeps your agent focused on specific tasks like ticket resolution. You decide which tools are active.

Integrate BoomTown (OvationCXM) with your Google ADK agent to process support data on Google Cloud.

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Connect BoomTown (OvationCXM) MCP to Google ADK

Create your Vinkius account to connect BoomTown (OvationCXM) 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 BoomTown (OvationCXM) with Google ADK

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Google ADK agents accessing support records

Your agent queries `list_customers` or `get_customer` to feed context into your Gemini models. Google ADK handles the connection to your MCP Server seamlessly. This setup bridges your support data with BigQuery analytics. You build agents that understand the full history of a ticket.

Automated journey tracking in Google ADK

Use `get_journey` to pull specific customer paths directly into your reasoning loop. Google ADK parses the tool output to inform agent decisions. It works well with the 1M+ token context window. Your agent keeps track of long-running support cases without losing details.

Scaling support operations with Google ADK

Expose `list_teams` and `list_organizations` to map support requests to the right departments. Google ADK restricts tool access if you need to limit scope. Your deployment runs on Google Cloud infrastructure. It gives your agents a direct line to your support data architecture.

Setup guide

Set up BoomTown (OvationCXM) 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 BoomTown (OvationCXM) 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="BoomTown (OvationCXM)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BoomTown (OvationCXM) 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 BoomTown (OvationCXM). 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 BoomTown (OvationCXM) MCP in Google ADK

Install the toolkit and initialize the McpToolset with your server URL. Pass it into the LlmAgent configuration to make the tools available. It takes only a few lines of Python.

Gemini models excel at processing these large payloads. You can pull lists of issues and let the agent summarize the findings. The long-context window handles the heavy lifting.

You can use a tool_names filter to restrict what your agent sees. It keeps your agent focused on specific tasks like ticket resolution. You decide which tools are active.

The server supports both Stdio and HTTP transports for reliable uptime. You choose the transport that fits your Google Cloud environment best. It stays connected as long as your agent is live.

Your support records are isolated within the Vinkius ephemeral sandbox. We use strict token-based authentication for every request. No data is stored outside your control.

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