How to Use the CartonCloud MCP in OpenAI Agents SDK
Let your OpenAI Agents SDK run CartonCloud warehouse checks and dispatch logistics data with zero-config tool auto-discovery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CartonCloud MCP to OpenAI Agents SDK
Create your Vinkius account to connect CartonCloud 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.
Automate stock checks in OpenAI Agents SDK
The `get_product_stock` tool exposes real-time inventory counts from CartonCloud directly to your Python agents. You do not have to map endpoints manually because the agent automatically learns how to query the warehouse database using this MCP Server. Once configured, your agent runs `list_warehouse_products` to match master SKUs against current orders. This setup prevents your script from selling ghost inventory without you writing a single line of API glue code.
Reconcile logistics invoices on the fly
The `list_logistics_invoices` tool fetches billing records straight from CartonCloud to feed your agent's validation loop. Your agent checks these numbers against active transport logs to flag discrepancies before they hit your accounting desk. By passing this tool to your agent constructor, the runner queries `list_logistics_customers` to verify which accounts owe outstanding balances. You get a clean billing audit without manual CSV exports or custom webhooks.
Track consignments inside agent guardrails
The `list_consignments` tool pulls live shipping and transport data into your OpenAI Agents SDK pipeline. The agent checks delivery statuses and flags delayed shipments before they trigger customer complaints. Because the SDK enforces runtime safety rules, the agent calls `get_sale_order_details` only when specific shipping thresholds are met. You get automated logistics dispatching without worrying about an autonomous script running rogue on your order database.
Set up CartonCloud MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all CartonCloud tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives CartonCloud tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate CartonCloud tools and returns structured results. Copy the full example on the right to get started.
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="CartonCloud Agent",
instructions="You have access to CartonCloud tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CartonCloud. 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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