Focus Varejo MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Focus Varejo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"focus-varejo": {
"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 Focus Varejo, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Focus Varejo MCP Server
Connect Focus Varejo to any AI agent and manage your retail and telecom fiscal documentation — issue NFC-e for retail sales, NFCom for telecom services, manifest NF-e and CT-e as recipient, and list received NFS-e through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Focus Varejo through native MCP adapters. Connect 8 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.
What you can do
- Emit NFC-e — Issue Consumer Invoices for retail point-of-sale transactions
- Emit NFCom — Issue Communication/Telecom Service Invoices
- Manifest NF-e — Acknowledge or confirm invoices issued against your CNPJ
- Manifest CT-e — Acknowledge transport documents as recipient
- Consult Status — Check authorization and status of NFC-e and NFCom
- List Received NFS-e — View all service invoices received by your company
The Focus Varejo MCP Server exposes 8 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 Focus Varejo to LangChain via MCP
Follow these steps to integrate the Focus Varejo 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 8 tools from Focus Varejo via MCP
Why Use LangChain with the Focus Varejo MCP Server
LangChain provides unique advantages when paired with Focus Varejo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Focus Varejo 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 Focus Varejo queries for multi-turn workflows
Focus Varejo + LangChain Use Cases
Practical scenarios where LangChain combined with the Focus Varejo MCP Server delivers measurable value.
RAG with live data: combine Focus Varejo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Focus Varejo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Focus Varejo tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Focus Varejo tool call, measure latency, and optimize your agent's performance
Focus Varejo MCP Tools for LangChain (8)
These 8 tools become available when you connect Focus Varejo to LangChain via MCP:
cancel_nfce
Cancel NFC-e
consult_nfce
Consult NFC-e status
consult_nfcom
Consult NFCom status
emit_nfce
Emit NFC-e for retail sales
emit_nfcom
Emit NFCom for Telecom services
list_received_nfse
List NFS-e received by the company
manifest_cte
Manifest CT-e as recipient
manifest_nfe
Manifest NF-e as recipient (Ciência, Confirmação, etc)
Example Prompts for Focus Varejo in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Focus Varejo immediately.
"Emit an NFC-e for a sale of R$89.90."
"Manifest NF-e 3523010000000000000055001000001000 as confirmed."
"List all service invoices received by CNPJ 12.345.678/0001-00."
Troubleshooting Focus Varejo MCP Server with LangChain
Common issues when connecting Focus Varejo to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFocus Varejo + LangChain FAQ
Common questions about integrating Focus Varejo MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Focus Varejo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Focus Varejo to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.