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How to Use the Fizzpa MCP in Google ADK

Run Gemini agents that sync restaurant inventory and BigQuery data using the Google ADK.

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Google ADK

Connect Fizzpa MCP to Google ADK

Create your Vinkius account to connect Fizzpa 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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Sync Fizzpa Inventory with BigQuery via Google ADK

The `list_inventory_levels` tool pulls real-time stock counts directly into your Gemini agent's context window. Your Google ADK agent cross-references these numbers with historical sales data stored in BigQuery. This allows the Gemini model to predict Fizzpa ingredient shortages before they disrupt your kitchen. Long-context reasoning lets Gemini analyze thousands of Fizzpa menu items simultaneously. The Google ADK agent uses `list_catalog_products` to map current stock against your BigQuery recipe database, keeping your digital menus updated.

Coordinate Multi-Location Kitchens via MCP Server

This MCP Server provides the `list_warehouse_locations` tool to identify which kitchen should prepare an incoming digital order. Your Gemini agent checks where Fizzpa ingredients are available, then routes the ticket. The Google ADK agent generates the fulfillment paperwork instantly using `get_shipping_label`. Managing high-volume Fizzpa logistics is straightforward with Google Cloud infrastructure. The Google ADK handles the underlying HTTP transport, ensuring your Gemini agent can dispatch Fizzpa tasks without dropping requests.

Manage Customer Tickets on Google Cloud

The `update_order_info` tool modifies active restaurant tickets based on real-time customer feedback through Gemini. If a customer requests a substitution, your Gemini agent updates the Fizzpa order details. If they want to cancel, the Google ADK agent executes `cancel_order` immediately. This Google ADK integration relies on the `McpToolset` class to expose these Fizzpa functions to your Gemini model. You can filter the tools to ensure your customer-facing Gemini agents only access safe Fizzpa endpoints.

Setup guide

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

You initialize the `McpToolset` with the server's HTTP parameters in your Python script. The Google ADK then exposes the restaurant tools directly to your Gemini model.
Yes, your agent can query BigQuery for sales trends, then use `update_order_info` to adjust pricing or menu availability. This combines your enterprise data with real-time restaurant operations.
Gemini can ingest your entire product catalog from `list_catalog_products` in a single prompt. This allows the Google ADK to make complex menu recommendations based on real-time stock.
You pass a filtered list of tool names to your toolset constructor. This prevents the agent from calling administrative endpoints like `list_configured_webhooks`.
All menu catalogs and customer names are transmitted via encrypted transport layers. The MCP Server runs in an isolated sandbox, ensuring your Google ADK agent never leaks data to external models.

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