Can I check stock levels for a specific SKU?

Yes! Use the `get_product_stock` tool with the product's unique ID. The agent will return the current available quantities across your warehouses.

How do I see all pending sale orders?

Use the `list_sale_orders` tool. Your agent will fetch the list of outbound orders along with their current status and customer information.

Which regions does this integration support?

It supports all CartonCloud regions. You just need to specify your region subdomain (e.g., `api-au` for Australia, `api-us` for United States) during setup.

CartonCloud MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: CartonCloud
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect CartonCloud through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "cartoncloud": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using CartonCloud, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with CartonCloud through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the CartonCloud MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from CartonCloud via MCP

Why Use LangChain with the CartonCloud MCP Server

LangChain provides unique advantages when paired with CartonCloud through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine CartonCloud MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across CartonCloud queries for multi-turn workflows

CartonCloud + LangChain Use Cases

Practical scenarios where LangChain combined with the CartonCloud MCP Server delivers measurable value.

RAG with live data: combine CartonCloud tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query CartonCloud, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain CartonCloud tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every CartonCloud tool call, measure latency, and optimize your agent's performance

CartonCloud MCP Tools for LangChain (8)

These 8 tools become available when you connect CartonCloud to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting CartonCloud to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

CartonCloud + LangChain FAQ

Common questions about integrating CartonCloud MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.