How to Use the Focus Logística MCP in LangChain

Q: How do I handle failed emissions using Focus Logística with LangChain?

If emitcte returns a validation error, your LangChain agent handles it via standard error-routing chains. You write a fallback path that parses the Focus Logística API error code and asks your LangChain agent to correct the invalid tax field before retrying.

Q: Can I run multi-server setups with Focus Logística and LangChain?

Yes, you configure the MultiServerMCPClient to combine this Brazilian logistics server with database servers. Your LangChain agent pulls shipping data from one server and passes it directly to emitmdfe in the next step.

Q: Does Focus Logística support LangChain tracking with LangSmith?

Yes, every call to consultcte or consultmdfe passes through the MCP adapter, letting LangSmith trace the exact execution time. You monitor latency and API token usage for every Brazilian transport document checked by your LangChain chain.

Q: How do I download XML files for tax archiving in LangChain?

Your LangChain agent calls downloadxml with the specific Focus Logística document key. The tool returns the raw XML string, which your LangChain chain writes directly to your local file system or cloud storage bucket.

Chain Focus Logística tools directly into LangChain pipelines to automate Brazilian CT-e and MDF-e emission without manual steps.

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Connect Focus Logística MCP to LangChain

Create your Vinkius account to connect Focus Logística 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 Focus Logística with LangChain

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Automate Freight Emission in LangChain Chains

The `emit_cte` tool issues Brazilian electronic transport documents directly inside your active LangChain pipelines. Your LangChain agent takes raw shipping orders, builds the payload, and triggers the Focus Logística emission instantly. If the tax authority rejects the payload, your LangChain chain catches the Focus Logística error code. It routes the payload back for correction without crashing your active LangChain run.

Track MCP Server Manifests in LangSmith

The `consult_mdfe` and `consult_cte` tools let your LangChain agents verify Brazilian transport document status before starting a run. This MCP Server exposes these Focus Logística tools directly, allowing real-time status checks within any active LangChain chain. LangSmith traces every Focus Logística call, recording exact document status latency and raw XML responses. You see precisely when a Focus Logística manifest moves from pending to authorized in your LangChain log.

Automate Manifest Closure and XML Downloads

The `close_mdfe` and `download_xml` tools handle the final stages of the Focus Logística transport lifecycle within your LangChain workflows. Your LangChain pipeline triggers closure the moment a delivery is confirmed, then pulls down the signed XML. This eliminates manual downloads from government portals by keeping the entire Focus Logística flow inside LangChain. Your LangChain agent manages the entire document lifecycle from emission to storage using a single, unified MCP chain.

Setup guide

Set up Focus Logística 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 Focus Logística 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({
    "focus-logistica-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 Focus Logística transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Focus Logística MCP in LangChain

If `emit_cte` returns a validation error, your LangChain agent handles it via standard error-routing chains. You write a fallback path that parses the Focus Logística API error code and asks your LangChain agent to correct the invalid tax field before retrying.

Yes, you configure the `MultiServerMCPClient` to combine this Brazilian logistics server with database servers. Your LangChain agent pulls shipping data from one server and passes it directly to `emit_mdfe` in the next step.

Yes, every call to `consult_cte` or `consult_mdfe` passes through the MCP adapter, letting LangSmith trace the exact execution time. You monitor latency and API token usage for every Brazilian transport document checked by your LangChain chain.

Your LangChain agent calls `download_xml` with the specific Focus Logística document key. The tool returns the raw XML string, which your LangChain chain writes directly to your local file system or cloud storage bucket.

This MCP Server processes sensitive CT-e and MDF-e XML files within Vinkius's isolated V8 sandbox during LangChain runs. Your Focus Logística API tokens and tax payloads are never stored on our servers, keeping your LangChain integrations completely secure.

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