CartonCloud MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CartonCloud through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="CartonCloud Assistant",
instructions=(
"You help users interact with CartonCloud. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from CartonCloud"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About CartonCloud MCP Server
Connect your CartonCloud account to any AI agent and orchestrate your WMS (Warehouse Management System) and TMS (Transport Management System) through natural conversation. Streamline 3PL operations and inventory management.
The OpenAI Agents SDK auto-discovers all 8 tools from CartonCloud through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CartonCloud, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Order Fulfillment — List and retrieve details for outbound sale orders and inbound purchase orders natively
- Inventory Visibility — Monitor current stock levels by product and warehouse location in real-time
- Transport Management — List transport consignments and track delivery statuses securely
- Master Data Control — Access warehouse product details, including SKUs and unit of measure metadata
- Customer Oversight — List and manage customer profiles and associated logistics data flawlessly
- Financial Auditing — Retrieve generated invoices for logistics services directly within your workspace
The CartonCloud MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CartonCloud to OpenAI Agents SDK via MCP
Follow these steps to integrate the CartonCloud MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from CartonCloud
Why Use OpenAI Agents SDK with the CartonCloud MCP Server
OpenAI Agents SDK provides unique advantages when paired with CartonCloud through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
CartonCloud + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the CartonCloud MCP Server delivers measurable value.
Automated workflows: build agents that query CartonCloud, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries CartonCloud, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through CartonCloud tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query CartonCloud to resolve tickets, look up records, and update statuses without human intervention
CartonCloud MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect CartonCloud to OpenAI Agents SDK via MCP:
get_product_stock
Get current stock levels for a specific product
get_sale_order_details
Get details for a specific sale order
list_consignments
List transport consignments
list_logistics_customers
List customers associated with the tenant
list_logistics_invoices
List generated invoices for logistics services
list_purchase_orders
List inbound purchase orders
list_sale_orders
List outbound sale orders
list_warehouse_products
List warehouse products and master data
Example Prompts for CartonCloud in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CartonCloud immediately.
"List my last 10 sale orders in CartonCloud."
"What is the current stock for product ID 555?"
"Show me the transport consignments for today."
Troubleshooting CartonCloud MCP Server with OpenAI Agents SDK
Common issues when connecting CartonCloud to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
CartonCloud + OpenAI Agents SDK FAQ
Common questions about integrating CartonCloud MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect CartonCloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CartonCloud to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.