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Coppel MCP Server for LangChain 14 tools — connect in under 2 minutes

Built by Vinkius GDPR 14 Tools Framework

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

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({
        "coppel": {
            "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 Coppel, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Coppel
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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 Coppel MCP Server

Connect your Coppel B2B account to any AI agent and manage Mexico's largest department store and consumer credit ecosystem through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Coppel through native MCP adapters. Connect 14 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

  • Product Catalog — Browse, search, and inspect Coppel's massive catalog spanning electronics, furniture, appliances, clothing, and shoes with real-time pricing
  • Order Management — Create orders, track fulfillment status, and review complete order histories with payment breakdowns
  • Customer Credit Intelligence — Query any customer's Coppel credit account: approved limits, current balances, weekly payment amounts (abonos semanales), and payment history
  • Store Locator — Search through 1,700+ Coppel retail stores across all Mexican states with addresses, hours, and available services
  • Promotions & Campaigns — Access active seasonal promotions (Buen Fin, Hot Sale), category discounts, and interest-free credit offers

The Coppel MCP Server exposes 14 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 Coppel to LangChain via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 14 tools from Coppel via MCP

Why Use LangChain with the Coppel MCP Server

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

01

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

02

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

03

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

04

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

Coppel + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Coppel MCP Tools for LangChain (14)

These 14 tools become available when you connect Coppel to LangChain via MCP:

01

create_order

Specify the product IDs, quantities, delivery address, and payment method. Credit-eligible customers can select weekly payment plans (abonos semanales). Place a new order

02

get_customer

Get full details of a specific customer

03

get_customer_credit

Coppel is famous for its consumer credit program serving Mexico's underbanked population. Check a customer's Coppel credit status

04

get_order

Get full details of a specific order

05

get_product

Get full details of a specific product

06

get_store

Get details of a specific store

07

list_categories

List all product categories

08

list_customers

List registered customers

09

list_orders

Filter by status to find pending or delivered orders. List customer orders

10

list_payments

Shows payment amounts, dates, methods (weekly installment, cash at store, card), and receipt references. List payments for an order or account

11

list_products

Products span electronics, furniture, appliances, clothing, and shoes. Filter by category for targeted browsing. List products from the Coppel catalog

12

list_promotions

List active promotions and deals

13

list_stores

Filter by state to find stores in a specific Mexican state (e.g., "Jalisco", "CDMX"). List Coppel physical store locations

14

search_products

Returns matching products with pricing and credit plan availability. Search products by keyword

Example Prompts for Coppel in LangChain

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

01

"Search for Samsung TVs under $15,000 MXN in the Coppel catalog."

02

"Check the credit status for customer account #7890123."

03

"Show me active Buen Fin promotions."

Troubleshooting Coppel MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Coppel + LangChain FAQ

Common questions about integrating Coppel MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Coppel to LangChain

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.