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How to Use the Wherefour MCP in Google ADK

Act on complex supply chain logic with your AI client using Google ADK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Wherefour MCP to Google ADK

Create your Vinkius account to connect Wherefour 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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See all product formulas and recipes

Need to know how a finished good is made? The `list_formulas` tool lists every production recipe available in the system. This lets your agent understand Bill of Materials (BOM) requirements. If you need details on one specific item, use `get_inventory_item`. You can trace that single product back through its component parts and check against existing formulas.

Audit sales history by client

The agent pulls up a customer's entire buying record using `list_invoices` and `get_order`. This gives you both the total financial picture and the specific products they bought. Furthermore, running `list_customers` ensures that even if an account is dormant, its basic data remains available for your agent to reference.

Manage stock lots and locations

Tracking physical goods requires knowing where they are. The `list_locations` tool shows every storage area you have on site. Pair that with `list_stock_lots` to see the specific batches of product in those areas. This combination is critical for traceability, letting your agent pinpoint exactly which lot number needs to be shipped or investigated.

Setup guide

Set up Wherefour 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 Wherefour 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="Wherefour_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Wherefour 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 Wherefour. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wherefour MCP in Google ADK

You initialize the toolset using `McpToolset` and pass it as a tool list to your LlmAgent. Since you're on Cloud infrastructure, this integrates nicely with BigQuery for deeper data analysis.
It covers the full supply chain: listing vendors (`list_vendors`), checking purchase records (`list_purchases`), and managing sales orders (`list_orders`). You can build agents that handle everything from sourcing to shipping.
Yes, the `list_inventory_items` tool pulls every item name and SKU. You can then pass that data into BigQuery for complex joins or aggregations within your agent's workflow.
It is designed for this environment, supporting long-context reasoning across 1M+ tokens. If your data already lives in BigQuery, the native integration makes connecting tools like `list_orders` straightforward.
The server touches inventory stock lot and purchase record data. All connections are managed via Google Cloud infrastructure, ensuring high levels of security for the underlying business records.

Start using the Wherefour MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Wherefour. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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