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How to Use the Walmart Luminate Analytics MCP in Google ADK

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Google ADK

Connect Walmart Luminate Analytics MCP to Google ADK

Create your Vinkius account to connect Walmart Luminate Analytics 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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MCP Server: Financial Reporting

Need to verify financial boundaries? Use `luminate_get_financial_report`. This tool polls logical Node arrays, checking completely if they fall within explicitly bound financial limits. You'll also use it for high-level planning. It’s perfect when you need your agent to confirm key business metrics against hard financial ceilings.

Tracking Omni-Channel Sales

The `luminate_channel_performance` tool lets you track omnichannel constraints explicitly. Your agents get detailed updates on performance across all sales channels. It’s also useful for seeing how well organic SKUs convert by running `luminate_conversion_rates`. This verifies conversion rates against specific, bound targets.

Understanding Customer Affinity

Want to know what customers buy together? Run `luminate_market_basket`. It updates analytical metrics over defined affinity bounds for you. For a deeper look at customer retention, use `luminate_loyalty_metrics`. This extracts and compiles explicit 1P documents so your agents can build accurate loyalty profiles.

Setup guide

Set up Walmart Luminate Analytics 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 Walmart Luminate Analytics 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="Walmart Luminate Analytics_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Walmart Luminate Analytics 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 Walmart Luminate. 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 Walmart Luminate Analytics MCP in Google ADK

Use `luminate_category_trends`. It tracks boundaries naturally, parsing clean analytics to show you exactly where product categories are performing across different markets.
Yes. The `luminate_store_inventory_health` tool verifies physical matrices, parsing organic bounds completely natively. It's perfect for real-time stock checks.
You call `luminate_shopper_behavior`. This extracts analytics about how shoppers move, handling inherently safe and secure routing information that your agents need to process.
Absolutely. Since it's an MCP Server, your agent uses native connections. The data retrieved from tools like `luminate_market_basket` integrates directly into the Gemini ecosystem for deep analysis.
The server handles shopper behavior analytics, specifically routing information. When building agents on Google Cloud, you need to ensure that sensitive movement patterns are validated before analysis.

Start using the Walmart Luminate Analytics MCP today

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Built & Managed by Vinkius 30s setup 8 tools

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