NFCom (Nota Fiscal de Comunicação) is used for telecommunication services like internet, phone, and TV subscriptions.

Why should I manifest NF-e?

Manifestation confirms that your company acknowledges receiving the goods. Events include Ciência da Operação (210750), Confirmação (210760), and others.

Can I list all NFS-e received by my company?

Yes, use the `list_received_nfse` tool to see all service invoices where your company is the taker (tomador).

Can I emit an NFC-e offline?

Yes, NFC-e allows issuance in offline contingency. Your AI agent can prepare and log the NFC-e locally until the connection is restored, then it will sync via the API.

Focus Varejo MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Focus Varejo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Focus Varejo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Focus Varejo "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Focus Varejo?"
    )
    print(result.data)

asyncio.run(main())

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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 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.

Pydantic AI validates every Focus Varejo tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Focus Varejo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Focus Varejo with type-safe schemas

Why Use Pydantic AI with the Focus Varejo MCP Server

Pydantic AI provides unique advantages when paired with Focus Varejo through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Focus Varejo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Focus Varejo connection logic from agent behavior for testable, maintainable code

Focus Varejo + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Focus Varejo MCP Server delivers measurable value.

Type-safe data pipelines: query Focus Varejo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Focus Varejo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Focus Varejo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Focus Varejo responses and write comprehensive agent tests

Focus Varejo MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Focus Varejo to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Focus Varejo to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Focus Varejo + Pydantic AI FAQ

Common questions about integrating Focus Varejo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Focus Varejo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.