Bring Transport Invoicing
to LangChain
Create your Vinkius account to connect Focus Logística to LangChain and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Focus Logística MCP Server?
Connect Focus Logística to any AI agent and manage your Brazilian cargo transport documentation — issue CT-e (Conhecimento de Transporte), MDF-e (Manifesto de Carga), close manifests, and download XMLs through natural conversation.
What you can do
- Emit CT-e — Issue transport invoices for all modalities (road, air, rail, waterway)
- Emit MDF-e — Create cargo manifests grouping multiple CT-e documents
- Consult Status — Check authorization and current status of CT-e and MDF-e
- Close Manifests — Mark MDF-e as finished/encerrado after delivery
- Cancel Documents — Cancel CT-e with valid justification
- Download XML — Retrieve XML for accounting and legal compliance
How it works
- Subscribe to this server
- Enter your Focus NFe API Token and Base URL
- Start managing logistics documents from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Logistics Managers — Issue CT-e and MDF-e without accessing the transport panel
- Freight Companies — Manage multiple transport documents and manifests efficiently
- Accounting Firms — Retrieve XML and verify status for client compliance
Built-in capabilities (7)
Cancel a CT-e
Close/Finish a MDF-e
Consult CT-e status
Consult MDF-e status
Download XML for CT-e or MDF-e
Emit a Conhecimento de Transporte (CT-e)
Emit Manifesto de Carga (MDF-e)
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Focus Logística through native MCP adapters. Connect 7 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.
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The largest ecosystem of integrations, chains, and agents. combine Focus Logística MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Focus Logística queries for multi-turn workflows
Focus Logística in LangChain
Why run Focus Logística with Vinkius?
The Focus Logística connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Focus Logística using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Focus Logística and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Focus Logística to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Focus Logística for LangChain
Every request between LangChain and Focus Logística is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
What transport modalities are supported for CT-e?
CT-e supports all modalities: road (rodoviário), air (aéreo), rail (ferroviário), waterway (aquaviário), pipeline (dutoviário) and multimodal.
When should I close an MDF-e?
You should close the MDF-e after the delivery is completed. Use the close_mdfe action to mark it as finished.
Can I cancel an authorized CT-e?
Yes, as long as it hasn't been used for transport yet. Use cancel_cte with a valid justification reason.
What documents are required to generate an MDF-e?
You need the related NFe (for own cargo) or CTe (for third-party cargo) references, as well as the vehicle's license plate and the driver's CPF.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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