How to Use the Megaventory MCP in OpenAI Agents SDK

Q: Can I filter inventory locations with this MCP toolset?

Definitely. Your agent uses listlocations to map your warehouse network, then calls getinventorystock to filter quantities down to specific bins or buildings.

Control stock levels and track purchase orders directly inside your OpenAI Agents SDK production workflows without manual checks.

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Connect Megaventory MCP to OpenAI Agents SDK

Create your Vinkius account to connect Megaventory to OpenAI Agents SDK 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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Setup Megaventory with OpenAI Agents SDK

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Audit stock levels using this MCP Server

Your OpenAI agents inspect inventory across different physical locations by calling `get_inventory_stock` and `list_locations` in real-time. This setup replaces manual spreadsheet exports with structured, live data feeds. The agent verifies actual quantities before committing to any logistics decisions. It uses `get_stock_by_product` to pinpoint exactly where items sit, avoiding double-allocation errors.

Sync product data and supplier records

Stop updating inventory databases by hand when supplier terms change; use `update_product` and `update_supplier_client` to keep your catalog accurate. It checks existing entries first with `list_supplier_clients` and `get_product`. If details mismatch, the agent corrects the SKU pricing or supplier contact info instantly without human intervention.

Track order pipelines with OpenAI Agents SDK

Keep tabs on incoming supply and outgoing shipments by calling `list_purchase_orders` and `list_sales_orders` to map your current pipeline. When customers ask for status updates, the agent pulls exact details via `get_sales_order`. It updates progress using `update_sales_order` to keep your fulfillment team in the loop.

Setup guide

Set up Megaventory MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Megaventory tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Megaventory tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Megaventory tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Megaventory Agent",
            instructions="You have access to Megaventory tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Megaventory MCP in OpenAI Agents SDK

Install the package and pass the HTTP server parameters to your agent constructor. The agent automatically discovers the MCP tools, including `check_megaventory_status` to verify your ERP connection.

Yes. You can configure a specialized agent loop that lists items using `list_products` and updates them one by one with `update_product`. OpenAI's built-in guardrails ensure the agent doesn't write bad data to your live ERP.

Use the SDK's native guardrails to validate actions. The agent checks current open orders with `list_purchase_orders` before deciding to run any new purchase workflows, preventing costly double-ordering.

Definitely. Your agent uses `list_locations` to map your warehouse network, then calls `get_inventory_stock` to filter quantities down to specific bins or buildings.

This MCP Server keeps your sales orders, product SKUs, and supplier contacts protected inside Vinkius's zero-trust V8 sandbox. No database records are stored permanently on our servers, and every API call to retrieve `get_inventory_stock` or update `update_sales_order` runs in an ephemeral, isolated environment.

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