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How to Use the Megaventory MCP in Google ADK

Run enterprise inventory operations in Google ADK using Gemini long-context to analyze warehouse and supplier data.

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Google ADK

Connect Megaventory MCP to Google ADK

Create your Vinkius account to connect Megaventory 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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Analyze stock history with Google ADK

Feed your entire warehouse history into Gemini's massive context window by pulling records with `get_inventory_stock` and `list_locations`. It cross-references this live data with BigQuery sales tables. The agent spots trends that simple database queries miss, giving your procurement team clear action items.

Update supplier terms using this MCP Server

Keep your supplier directory clean and updated by calling `list_supplier_clients` to find outdated terms. If a supplier shifts their catalog, the agent updates individual item specs using `update_product` or `update_supplier_client`. You bypass manual data entry entirely while keeping your ERP and Google Cloud databases in sync.

Reconcile order pipelines automatically

Align incoming stock with customer commitments by reviewing your backlog with `list_purchase_orders` and `list_sales_orders`. When it finds a discrepancy, it pulls the complete transaction history using `get_sales_order` or `get_product`. This lets you fix pipeline errors before they hit your balance sheet.

Setup guide

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

Use `McpToolset` with the HTTP server URL from Vinkius and pass it to your `LlmAgent`. The ADK instantly exposes tools like `check_megaventory_status` to your Gemini models.
Yes. Your agent can read incoming supplier sheets on Google Cloud, match them with your catalog using `list_products`, and execute updates using `update_product`.
The agent runs scheduled checks using `get_stock_by_product` and compares the results against your BigQuery demand forecasts. If stock falls below threshold, it flags the issue immediately.
Yes, the ADK lets you filter exposed tools. You can limit your agent to read-only actions like `get_inventory_stock` and block write operations like `update_sales_order` if needed.
Your supplier lists, purchase orders, and inventory counts are handled through secure, ephemeral V8 isolates. This managed MCP Server never logs or caches sensitive ERP payload data from `list_supplier_clients` or `list_purchase_orders`, keeping your business intelligence strictly within your Google Cloud boundary.

Start using the Megaventory MCP today

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