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How to Use the Humanitix MCP in Google ADK

Feed your Humanitix ticket data directly into Gemini long-context models using the Google ADK.

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Google ADK

Connect Humanitix MCP to Google ADK

Create your Vinkius account to connect Humanitix 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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Process massive attendee lists with Google ADK

The `list_attendees` tool pulls massive registration rosters so you can feed them directly into Gemini's long-context window using the Google ADK. Feeding thousands of registration rows directly into Gemini's million-token context window lets you find registration patterns or VIP guest trends instantly.

Sync Humanitix MCP Server data to Google Cloud

The `list_orders` tool exports live Humanitix ticket transactions directly to your BigQuery warehouse using the Google ADK for real-time reporting. Keeping your enterprise data warehouse updated with real-time ticket transactions becomes trivial when your agent writes directly to your BigQuery tables.

Track regional campaigns across multiple venues

The `list_campaigns` tool retrieves active marketing promotions so your Google ADK agent can map them to physical event locations. Coordinating marketing push notifications based on where your ticket sales are lagging is easy when your agent links active promotions to specific locations.

Setup guide

Set up Humanitix 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Humanitix 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="Humanitix_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Humanitix tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Humanitix. 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 Humanitix MCP in Google ADK

Install `google-adk` and define an `McpToolset` pointing to your Vinkius HTTP URL. Pass this toolset into your `LlmAgent` tools array so Gemini can execute endpoints like `list_events` during its reasoning loops.
Yes, the framework supports a `tool_names` filter. You can explicitly expose safe tools like `list_events` or `get_event` while hiding sensitive administration tools like `list_orders` from public-facing agents.
Gemini's long-context window easily digests massive JSON responses from `list_attendees` or `list_tickets`. The Google ADK passes these payloads directly to the model without requiring aggressive pre-filtering or truncation.
Yes, your agent can monitor sales using `list_inventory` and trigger predictive models in Vertex AI when specific ticket tiers sell out. Using the MCP tools, your agent keeps your cloud predictions accurate.
Your attendee records and ticket buyer details are processed through secure, ephemeral V8 isolates on Vinkius. This zero-trust MCP host protects your data, ensuring that customer purchase histories remain strictly within your Google Cloud boundary.

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