How do I get my Loyverse API token?

Log in to your Loyverse Back Office. Navigate to the Integrations section, specifically 'Access Tokens'. Here, you can generate a new personal access token specifically for this AI integration.

Can I query daily sales reports?

Yes, you can use the `l_list_receipts` tool to retrieve sales data and individual receipts over any date range, and the AI agent can aggregate these into daily sales reports for you.

Does the API support checking inventory?

Absolutely. You can use the `l_list_items` tool to dynamically track item catalog details and stock presence across your system.

Can I see all my registered customers?

Yes. The `l_list_customers` tool lets the agent fetch your entire customer database, including their names, registration dates, and generated identifiers.

Loyverse MCP Server for LangChain 4 tools — connect in under 2 minutes

Name: Loyverse
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 4 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Loyverse 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({
        "loyverse": {
            "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 Loyverse, 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 Loyverse MCP Server

The Loyverse MCP Server allows you to seamlessly integrate your point-of-sale system with any AI agent. Manage your inventory, track sales data, and create customer profiles programmatically through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Loyverse through native MCP adapters. Connect 4 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

Track Sales — Retrieve aggregated sales metrics, receipts, and performance data dynamically
Inventory Management — Check stock levels and list items across multiple locations
Customer Data — Search and list your registered customers in the system
Locations — Retrieve store location details and coordinate operations across branches

The Loyverse MCP Server exposes 4 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 Loyverse to LangChain via MCP

Follow these steps to integrate the Loyverse 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 4 tools from Loyverse via MCP

Why Use LangChain with the Loyverse MCP Server

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

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

Loyverse + LangChain Use Cases

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

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

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

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

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

Loyverse MCP Tools for LangChain (4)

These 4 tools become available when you connect Loyverse to LangChain via MCP:

l_list_customers

List your registered store customers from Loyverse POS

l_list_items

List inventory items in your Loyverse account with optional pagination parameters

l_list_locations

List all store locations in your Loyverse account

l_list_receipts

Can filter by creation date min and max parameters. List generated receipts from your Loyverse POS system. Can be filtered by date range and pagination limit

Example Prompts for Loyverse in LangChain

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

"Fetch the total sales numbers for all locations yesterday."

"Check the current inventory level for the item 'Honduras Dark Roast Coffee' at the Main Street location."

"Create a new customer profile for John Doe with the email john@example.com."

Troubleshooting Loyverse MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Loyverse + LangChain FAQ

Common questions about integrating Loyverse 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.