How to Use the Bsale MCP in LangChain

Q: How do I handle Chilean tax compliance using Bsale with LangChain?

Use the createdocument tool within a LangGraph node to send transactions to the Chilean SII. The tool returns the official folio number, which you pass directly to subsequent chain steps.

Q: Can a LangChain agent manage Bsale product variants and pricing?

Yes, the agent calls listvariants to fetch specific SKUs and barcodes, then uses listpricelists to match them with customer tiers. This lets your agent build complex checkout payloads dynamically.

Q: Can I aggregate multiple store locations using this setup?

Yes, your agent uses listoffices to map locations and queries stock levels per office. You pass this location data directly to your inventory chains.

Chain Bsale operations directly into your LangChain pipelines to automate Chilean tax compliance and inventory tracking.

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Connect Bsale MCP to LangChain

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Setup Bsale with LangChain

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Automate Chilean SII Compliance in LangChain Pipelines

The `create_document` tool on this MCP Server sends validated sales data directly to the Chilean SII to instantly return official folio numbers. Your LangChain agent handles the tax validation step as a node in a graph, feeding the resulting folio straight into your next database write. By linking `create_client` with your document generation chains, you ensure every invoice attaches correct RUT and business activity details. LangSmith tracks the inputs and outputs of these Chilean tax operations so you pinpoint exactly where any validation errors occur.

Multi-Step Inventory Audits with LangChain Agents

The `list_stocks` tool on this Bsale MCP Server checks physical quantities across your retail locations to prevent double-selling on your digital storefronts. Your ReAct agent queries this tool first, then uses the output to decide whether to trigger a reorder or run a stock transfer. When stock runs low, the agent pulls SKU variations using `list_variants` to find alternative items for the buyer. This keeps your inventory levels accurate across multiple offices without manual CSV exports or custom cron jobs.

Dynamic Price Sheet Updates via LangChain

The `list_price_lists` tool exposes your wholesale, retail, and distributor rates to your LangChain agent for instant comparison. Your chain grabs these active price sheets and matches them with specific client profiles in real-time. You update catalog items with `create_product` based on shifting supplier costs detected by your data pipelines. This loops pricing logic directly into your LLM decision trees to protect your margins on every sale.

Setup guide

Set up Bsale 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 Bsale 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({
    "bsale-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 Bsale 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 Bsale. 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 Bsale MCP in LangChain

Use the `create_document` tool within a LangGraph node to send transactions to the Chilean SII. The tool returns the official folio number, which you pass directly to subsequent chain steps.

Yes, the agent calls `list_variants` to fetch specific SKUs and barcodes, then uses `list_price_lists` to match them with customer tiers. This lets your agent build complex checkout payloads dynamically.

LangSmith traces every call to the Bsale MCP Server, showing the exact RUT and document parameters sent to the API. You see the latency and raw JSON payloads of every SII transaction.

Yes, your agent uses `list_offices` to map locations and queries stock levels per office. You pass this location data directly to your inventory chains.

Your RUT numbers, client details, and invoice totals pass through our Bsale MCP Server hosted on Vinkius. We run every tool call inside isolated V8 sandboxes that self-destruct immediately after execution, leaving no trace of customer tax data.

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