How do I get my VTEX API credentials?

Log in to your VTEX Admin, go to **Account Settings → Application Keys**, and create a new App Key. You'll receive an App Key and App Token pair. You also need your Account Name (the subdomain you use to access the VTEX Admin, e.g., 'mystore'). Ensure the key has **OMS** read/write permissions. No code, no SDK — just connect and go.

Can my agent register an invoice and tracking number at the same time?

Yes! The 'register_invoice' tool accepts the invoice number and an optional tracking number in one call. Once submitted, the order automatically moves to 'Invoiced' status — eliminating the manual step of navigating to the VTEX Admin, opening the order detail, and filling each field separately.

How does the agent handle order cancellations with refunds?

Just tell your agent to cancel the order. It uses the 'cancel_order' tool with an optional reason (so your team has an audit trail). VTEX then handles the refund automatically based on the payment method. No tab-switching, no admin navigation — your support team resolves it in one conversation.

Can I monitor fulfillment status across hundreds of orders?

Absolutely. The 'search_orders' tool supports status filters and pagination, so your agent can scan the entire order queue — for example, listing all orders stuck in 'ready-for-handling' to identify fulfillment delays. Perfect for operations teams managing high-volume VTEX stores with multiple sellers.

VTEX Orders MCP Server for LangChain 6 tools — connect in under 2 minutes

Name: VTEX Orders
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 6 Tools Framework

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

asyncio.run(main())

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 VTEX Orders MCP Server

Connect your VTEX Order Management System (OMS) to any AI agent and take full control of your store's order lifecycle through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with VTEX Orders through native MCP adapters. Connect 6 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 Lookup — Retrieve the full details of any order by ID, including items, client profile, payment method, logistics, and current status.
Order Search — Search and filter orders by status (e.g., 'ready-for-handling', 'invoiced', 'canceled') with built-in pagination for large result sets.
Status Updates — Advance orders through the fulfillment pipeline by updating their status (e.g., move from 'ready-for-handling' to 'handling').
Shipment Tracking — Retrieve tracking information for shipped packages, including carrier, tracking number, and tracking URL.
Invoice Registration — Attach tax invoices (NF-e) and tracking numbers to orders, automatically moving them to 'Invoiced' status.
Order Cancellation — Cancel orders with an optional reason, triggering automatic refund processing.

The VTEX Orders MCP Server exposes 6 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 VTEX Orders to LangChain via MCP

Follow these steps to integrate the VTEX Orders 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 6 tools from VTEX Orders via MCP

Why Use LangChain with the VTEX Orders MCP Server

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

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

VTEX Orders + LangChain Use Cases

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

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

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

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

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

VTEX Orders MCP Tools for LangChain (6)

These 6 tools become available when you connect VTEX Orders to LangChain via MCP:

cancel_order

Cancel an order

get_order

Get full details of a specific order

get_tracking_info

Get tracking info for an order package

register_invoice

search_orders

g., "ready-for-handling"). Search for orders by status or pagination

update_order_status

Update the status of an order

Example Prompts for VTEX Orders in LangChain

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

"Show me the details of order v-1234567890"

"List all orders with status 'ready-for-handling'"

"Cancel order v-444 — customer requested wrong size"

Troubleshooting VTEX Orders MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

VTEX Orders + LangChain FAQ

Common questions about integrating VTEX Orders 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.