How to Use the Conekta MCP in LangChain

Q: How do I pass Conekta customer data into a LangChain agent?

You use the getcustomer tool within a LangChain agent chain. The agent calls this tool to retrieve the customer profile, then passes the resulting payment details to the next step in your chain.

Q: Can a LangChain agent handle multi-item orders in Conekta?

Yes, your agent uses the createorder tool to build complex, multi-item orders in MXN. You pass the required line items, prices, and quantities directly from your LangChain chain variables.

Run multi-step payment workflows in Mexico by linking Conekta tools directly to your LangChain reasoning loops.

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Connect Conekta MCP to LangChain

Create your Vinkius account to connect Conekta to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Conekta with LangChain

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Chain Mexico payments with LangChain agent loops

The `create_order` tool lets your agent initiate transactions in Mexican Pesos (MXN) directly inside a LangChain runnable chain. Instead of hardcoding payment steps, your agent decides when to spin up an order based on customer chat history or database triggers. It feeds the output directly into the next chain link. You track the entire sequence through LangSmith to see exactly how the agent handles currency defaults and line items. If a payment fails, the agent immediately knows and shifts to a recovery path without manual coding.

Track customer history using LangChain chains

The `get_customer` tool pulls Mexican payment profiles and transaction histories directly into your LangChain ReAct agent loops. Your agent uses this historical data to determine if a customer qualifies for specific subscription plans or needs billing updates. We run this through the MultiServerMCPClient, which aggregates your Mexican payment data alongside other MCP tools. Evaluating customer records in real-time, your LangChain agent matches emails with existing profiles before running new transactions.

Debug payment webhooks with this MCP Server

The `list_events` tool exposes your Conekta webhook history directly to your debugging agent. This setup lets you verify API responses and trace event logs without leaving your terminal or switching to the Conekta dashboard. By combining this MCP Server tool with LangChain's 500+ integrations, your agent can catch failed webhooks and log them to Slack or your database. You get clean, automated error resolution built directly into your active runtime.

Setup guide

Set up Conekta MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Conekta tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "conekta-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Conekta transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Conekta. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Conekta MCP in LangChain

You use the `get_customer` tool within a LangChain agent chain. The agent calls this tool to retrieve the customer profile, then passes the resulting payment details to the next step in your chain.

Yes, your agent uses the `create_order` tool to build complex, multi-item orders in MXN. You pass the required line items, prices, and quantities directly from your LangChain chain variables.

LangSmith tracks every latency metric and payload for tools like `list_orders` during execution. You see the exact inputs your agent sends to the Mexican payment gateway and the raw JSON outputs it receives.

The agent catches the API error and decides the next step based on your prompt logic. It can retry the transaction or query `get_customer` to verify billing details.

Yes, because all payment details and customer records pass through Vinkius's secure, zero-trust MCP Server sandbox. Your credentials and transaction payloads are never stored or logged on our servers.

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