How to Use the Luma MCP in Google ADK

Q: Does the Google ADK support long-context event planning?

Gemini models handle large datasets, so you can feed listeventguests outputs directly into your prompt. This helps your agent manage complex invite lists.

Q: How do I limit which Luma tools my Google ADK agent sees?

Use the toolnames filter during your toolset initialization. This restricts the agent to only the specific actions you want it to perform.

Connect your Gemini-powered agents to Luma event data using the Google ADK.

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Connect Luma MCP to Google ADK

Create your Vinkius account to connect Luma 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 Luma with Google ADK

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Sync your calendar with Google ADK

Your agent views your upcoming schedule by calling `list_events`. It filters through your active sessions to prepare for your next task. This gives your agent total visibility into your current obligations. It uses `list_calendar_subscribers` to identify your most engaged audience members.

Direct event orchestration

You build your event infrastructure by calling `create_event` directly from your agent logic. It maps your internal project requirements to valid Luma event structures. This removes the need for manual configuration. Your agent ensures every new event is registered correctly before it adds your guest list.

Unified event analytics

Your agent aggregates data across your entire organization using `list_organization_events`. It turns raw event data into actionable insights for your team. This setup connects your Google Cloud infrastructure to your event platform. It keeps your agent in the loop as your organization scales.

Setup guide

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

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Common questions about Luma MCP in Google ADK

Initialize an McpToolset with your Vinkius server URL. Pass this toolset into your LlmAgent constructor to give your Gemini models access to your events.

Yes. Your agent can read from BigQuery and use that data to trigger `add_guests_to_event` calls. It acts as the bridge between your databases and your event platform.

Your information stays protected within the V8 Isolate sandbox. We handle all authentication, so your agent only sees the event data you provide.

Gemini models handle large datasets, so you can feed `list_event_guests` outputs directly into your prompt. This helps your agent manage complex invite lists.

Use the tool_names filter during your toolset initialization. This restricts the agent to only the specific actions you want it to perform.

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