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How to Use the NCR Voyix MCP in Google ADK

Connect Gemini agents to the NCR Voyix MCP Server using Google ADK to analyze massive retail datasets and physical site inventory.

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Google ADK

Connect NCR Voyix MCP to Google ADK

Create your Vinkius account to connect NCR Voyix 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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Feed Retail Sites to Google ADK

Using `list_sites` and `get_site`, your Gemini agent maps out your entire physical retail footprint. The tools pull the exact coordinates, operating hours, and fulfillment capacities for every location in your network. You can pipe this data straight into Vertex AI workflows. An agent cross-references the site details with foot traffic data stored in BigQuery, making structural recommendations for store hours without manual spreadsheet merging.

Analyze Millions of Tokens of Order Data

The `list_orders` and `get_order` tools extract raw transaction histories from your commerce backend. Gemini's massive 1M+ token context window swallows thousands of these order records in a single prompt. Instead of building complex pagination logic, you just ask the agent to find patterns in delayed fulfillments. It reads the raw JSON from the MCP Server and immediately identifies bottlenecks across your supply chain.

Sync Inventory with Cloud Infrastructure

Calling `list_inventory` pulls the current stock levels for specific SKUs across your warehouses and stores. The agent sees exactly what sits on the shelf right now. You configure the Google ADK to expose only specific tools using the tool_names filter. This restricts the agent to just inventory lookups, preventing it from accidentally querying `list_customers` while running automated stock reports.

Setup guide

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

Create an McpToolset using your Vinkius endpoint URL. Pass this object into the tools array of your LlmAgent. Gemini will immediately recognize the exposed retail operations.
You control tool access completely. Use the tool_names parameter when initializing the toolset. You can limit the agent to just get_product and list_catalogs if you only want it handling merchandising queries.
Yes. The server uses standard HTTP transport protocols. You just need the single Vinkius endpoint token to authenticate the connection.
The agent executes get_loyalty_programs to pull active reward tiers and point structures. It can then use Gemini's reasoning capabilities to cross-reference these programs against historical campaign performance in BigQuery.
The server handles live stock counts and location IDs via list_inventory. Vinkius routes these requests through zero-trust ephemeral endpoints, meaning the connection terminates the millisecond the data transfer finishes. No persistent tunnels remain open.

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