How do I track a specific shipment through the agent?

Use the 'list_shipments' tool. Your agent will pull shipment tracking details including the carrier, tracking number, ship date, and delivery status for linked orders.

Can I audit purchase orders from my suppliers via chat?

Absolutely. The 'list_pos' tool retrieves PO numbers, vendor names, expected delivery dates, and line item details, allowing you to monitor your supply chain replenishment natively.

Extensiv MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Extensiv
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Extensiv 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({
        "extensiv": {
            "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 Extensiv, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About Extensiv MCP Server

Connect your Extensiv (formerly Skubana) account to any AI agent and take full control of your omnichannel e-commerce operations and inventory management through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Extensiv through native MCP adapters. Connect 10 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 Orchestration — List and filter omnichannel orders to retrieve order numbers, statuses, channel mappings, and line items natively
Inventory Auditing — Monitor current stock levels across all warehouses, including available, committed, on-order, and in-transit quantities
Warehouse Management — Retrieve configurations for 3PL and in-house warehouses, identifying addresses and capability settings flawlessly
Supply Chain Oversight — List purchase orders (POs) and track vendor shipments, expected delivery dates, and receiving statuses securely
Product Master Data — Access core product details including SKUs, dimensions, weights, and costs to manage your catalog metadata
Vendor & Brand Control — Manage supplier contact details, lead times, and payment terms, and list all product brands configured in the system
Return & RMA Tracking — Monitor return merchandise authorizations with reason codes, status updates, and linked refund amounts in real-time
Customer Intelligence — Retrieve customer profiles with shipping addresses and order history summaries to resolve inquiries limitlessly

The Extensiv MCP Server exposes 10 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 Extensiv to LangChain via MCP

Follow these steps to integrate the Extensiv 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 10 tools from Extensiv via MCP

Why Use LangChain with the Extensiv MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Extensiv 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 Extensiv queries for multi-turn workflows

Extensiv + LangChain Use Cases

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

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

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

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

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

Extensiv MCP Tools for LangChain (10)

These 10 tools become available when you connect Extensiv to LangChain via MCP:

list_brands

1/brands. Returns all product brands configured in the system with brand name and description. No parameters required. List Extensiv brands

list_customers

1/customers with pagination. Returns customer profiles with name, email, phone, shipping address, and order history summary. List Extensiv customers

list_inventory

1/inventory with pagination. Returns current stock levels by warehouse and product, including available, committed, on-order, and in-transit quantities. List Extensiv inventory levels

list_orders

1/orders with pagination. Returns orders with order number, status, channel, shipping address, line items, and fulfillment tracking. Pass limit to control page size (default 100). List Extensiv/Skubana orders

list_pos

1/purchaseorders with pagination. Returns PO number, vendor, expected date, line items with SKU and quantity, and receiving status. List Extensiv purchase orders

list_products

1/products with pagination. Returns product master data including SKU, name, dimensions, weight, cost, and linked vendor information. List Extensiv products

list_rmas

1/rmas with pagination. Returns return merchandise authorizations with reason code, status, linked order, refund amount, and items being returned. List Extensiv returns (RMAs)

list_shipments

1/shipments with pagination. Returns shipment tracking details including carrier, tracking number, ship date, delivery status, and linked order references. List Extensiv shipments

list_vendors

1/vendors. Returns all configured vendors with name, contact details, lead time, currency, and payment terms. No parameters required. List Extensiv vendors/suppliers

list_warehouses

1/warehouses. Returns all configured 3PL and in-house warehouses with name, address, type, and capability settings. No parameters required. List Extensiv warehouses

Example Prompts for Extensiv in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Extensiv immediately.

"List the last 5 orders from my Shopify channel"

"What is the available stock for SKU 'TSHIRT-BLU-L' at the Main Warehouse?"

"Show me the status of purchase order PO-999"

Troubleshooting Extensiv MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Extensiv + LangChain FAQ

Common questions about integrating Extensiv 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.