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Vinkius

NFe.io MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect NFe.io through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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({
        "nfeio": {
            "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 NFe.io, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
NFe.io
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 NFe.io MCP Server

Connect your AI agents to NFe.io, the leading Brazilian platform for fiscal document automation. This MCP provides 10 tools to manage the full lifecycle of Service Invoices (NFS-e), validate Brazilian municipal codes (IBGE), and monitor corporate metadata for companies integrated into your billing environment.

LangChain's ecosystem of 500+ components combines seamlessly with NFe.io through native MCP adapters. Connect 10 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

  • Invoice Orchestration — Issue, cancel, and retrieve Service Invoices (NFS-e) for multiple cities across Brazil
  • Company Management — List and inspect registered companies and their current fiscal configurations
  • Service Definition — Manage service codes and tax metadata to ensure accurate fiscal reporting
  • Fiscal Intelligence — Retrieve detailed city capabilities and validate IBGE codes for seamless municipal integration
  • PDF Retrieval — Generate and retrieve download links for official invoice PDF and XML documents programmatically

The NFe.io MCP Server exposes 10 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 NFe.io to LangChain via MCP

Follow these steps to integrate the NFe.io MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from NFe.io via MCP

Why Use LangChain with the NFe.io MCP Server

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

01

The largest ecosystem of integrations, chains, and agents — combine NFe.io MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across NFe.io queries for multi-turn workflows

NFe.io + LangChain Use Cases

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

01

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

02

Autonomous research agents: LangChain agents query NFe.io, synthesize findings, and generate comprehensive research reports

03

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

04

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

NFe.io MCP Tools for LangChain (10)

These 10 tools become available when you connect NFe.io to LangChain via MCP:

01

cancel_merchandise_invoice

Cancel an issued Merchandise Invoice (NF-e)

02

cancel_service_invoice

Cancel an issued Service Invoice (NFS-e)

03

create_company

Register a new company (issuer) in NFe.io

04

get_company_details

Get detailed info for a specific company issuer

05

get_merchandise_invoice

Retrieve details for a specific Merchandise Invoice (NF-e)

06

get_service_invoice

Retrieve details for a specific Service Invoice (NFS-e)

07

issue_merchandise_invoice

Issue a Merchandise Invoice (NF-e)

08

issue_service_invoice

Issue a Service Invoice (NFS-e)

09

list_companies

List all companies (issuers) registered in your NFe.io account

10

list_webhooks

List all configured webhooks in NFe.io

Example Prompts for NFe.io in LangChain

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

01

"List all active companies in my NFe.io account."

02

"Check the status of service invoice ID 'inv_nfe_999888'."

03

"Find the IBGE code for the city of 'São Paulo'."

Troubleshooting NFe.io MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

NFe.io + LangChain FAQ

Common questions about integrating NFe.io MCP Server with LangChain.

01

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.
02

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.
03

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.

Connect NFe.io to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.