How to Use the Eventcube MCP in Google ADK

Q: How do I set up the Eventcube MCP Server in Google ADK?

Install the package via pip and initialize the McpToolset with your Vinkius HTTP URL. Pass this toolset into your Google ADK LlmAgent definition, allowing Gemini to query getme and list your Eventcube resources.

Q: How does Google ADK handle high-volume Eventcube order lookups?

By combining Gemini's long context with listorders in the Google ADK, the agent can analyze thousands of Eventcube order records at once. It cross-references customer queries with purchase histories to resolve booking discrepancies.

Q: Can I restrict which tools this server can access?

Yes, use the toolnames filter in your Google ADK toolset initialization. You can limit a customer-facing MCP agent to only run resendorderconfirmation and getevent, blocking it from modifying Eventcube ticket prices.

Connect Google ADK with Eventcube to analyze ticket data and spin up venues using 1M-token Gemini models.

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Connect Eventcube MCP to Google ADK

Create your Vinkius account to connect Eventcube 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 Eventcube with Google ADK

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Long-Context Event Planning via Google ADK

Gemini's massive context window lets you feed entire venue schedules directly to your Google ADK agent to execute `create_event` or `create_ticket`. This MCP Server allows your Google ADK agent to parse those documents and immediately run `create_event` or `create_ticket` on Eventcube. The Google ADK agent reads thousands of pages of event briefs, matches them against existing locations using `list_venues`, and builds your entire seasonal calendar in Eventcube in one pass.

Connecting BigQuery Data to Eventcube Workflows

Your enterprise ticket sales data shouldn't live in a silo, so use Google ADK to query your historical database alongside real-time data from Eventcube's `list_orders`. With the Google ADK, your agent can query your historical sales database in BigQuery, compare it with real-time data from Eventcube's `list_orders`, and adjust ticket strategies. The Google ADK agent runs `list_tickets` for an active show, compares it to your GCP database, and uses `create_ticket` to release new VIP tiers on Eventcube when standard seats sell out.

Restricting Google ADK Access to Sensitive Tools

Enterprise security demands strict control over what your Google ADK agent can do, limiting public bots to read-only tools like `get_event` and `list_events`. The MCP integration lets you use the `tool_names` filter to expose only read-only tools like `get_event` and `list_events` to public-facing Gemini bots. This ensures your Google ADK agents cannot accidentally modify your live Eventcube events. If you need to build an internal admin tool, you can spin up a separate agent with access to `create_venue` and `resend_order_confirmation`.

Setup guide

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

Install the package via pip and initialize the `McpToolset` with your Vinkius HTTP URL. Pass this toolset into your Google ADK `LlmAgent` definition, allowing Gemini to query `get_me` and list your Eventcube resources.

Yes, Gemini can analyze high-volume data streams via Google ADK and call `create_ticket` on Eventcube to add new tiers. It uses `list_tickets` to monitor capacity, ensuring you never oversell.

By combining Gemini's long context with `list_orders` in the Google ADK, the agent can analyze thousands of Eventcube order records at once. It cross-references customer queries with purchase histories to resolve booking discrepancies.

Yes, use the `tool_names` filter in your Google ADK toolset initialization. You can limit a customer-facing MCP agent to only run `resend_order_confirmation` and `get_event`, blocking it from modifying Eventcube ticket prices.

Your customer emails and Eventcube order records are processed inside the Vinkius V8 sandbox. This secure MCP layer prevents Gemini from leaking sensitive buyer details, while the Google ADK uses secure Google Cloud transit.

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