How do I find my Client ID and Secret?

You can create API Clients in the commercetools Merchant Center under Settings > Developer Settings > API Clients.

What regions are supported?

Common regions include us-central1.gcp, eu-central-1.aws, and others. Check your Merchant Center URL to find yours.

Do I need a specific scope?

This server typically requires 'manage_project' or equivalent read/write permissions to interact with products and orders.

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

Name: commercetools
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 commercetools through the 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({
        "commercetools": {
            "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 commercetools, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 commercetools MCP Server

Connect your commercetools project to any AI agent and manage your composable commerce infrastructure through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with commercetools through native MCP adapters. Connect 10 tools via the 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

Catalog Management — List products, inspect product categories, and query detailed product types across your e-commerce project.
Order Processing — Retrieve recent orders, update order statuses, and inspect purchase histories programmatically.
Customer Insights — Access customer profiles, verify configurations, and extract operational commerce data.
Project Administration — View current project settings, supported languages, currencies, and other essential store configurations.

The commercetools 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 commercetools to LangChain via MCP

Follow these steps to integrate the commercetools 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 commercetools via MCP

Why Use LangChain with the commercetools MCP Server

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

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

commercetools + LangChain Use Cases

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

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

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

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

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

commercetools MCP Tools for LangChain (10)

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

get_order

Retrieve detailed information about a specific order

get_product

Retrieve detailed information about a specific product

get_project_settings

Retrieve general settings for the current CommerceTools project

list_active_carts

Retrieve a list of active carts in CommerceTools

list_categories

Retrieve a list of product categories

list_customers

Retrieve a list of customers in CommerceTools

list_orders

Retrieve a list of orders in CommerceTools

list_products

Retrieve a list of products in CommerceTools

search_orders_by_number

Find an order by its order number

search_product_by_key

Retrieve a product by its unique key

Example Prompts for commercetools in LangChain

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

"Show me the first 20 products in CommerceTools."

"List the last 10 orders in CommerceTools."

"Show the current settings and languages for my CommerceTools project."

Troubleshooting commercetools MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

commercetools + LangChain FAQ

Common questions about integrating commercetools 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.