Can my AI automatically issue an NFS-e for a specific customer?

Yes! Use the `issue_service_invoice` tool with the Company ID and a JSON payload containing the customer data and service values. Your agent will trigger the issuance process with the relevant municipality.

How do I find the correct IBGE code for a Brazilian city?

You can use the `list_cities` tool to search for municipalities by name or state. The agent will return the official IBGE codes required for fiscal document validation.

Can I retrieve the download link for an invoice PDF?

Yes! Use the `get_service_invoice` tool with the unique Invoice ID. Your agent will return the metadata, including official links to download the PDF and XML versions of the document.

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

Name: NFe.io
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NFe.io through the 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 NFe.io "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in NFe.io?"
    )
    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 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.

Pydantic AI validates every NFe.io tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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

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 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 NFe.io to Pydantic AI via MCP

Follow these steps to integrate the NFe.io 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 10 tools from NFe.io with type-safe schemas

Why Use Pydantic AI with the NFe.io MCP Server

Pydantic AI provides unique advantages when paired with NFe.io 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 NFe.io integration code

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

Dependency injection system cleanly separates your NFe.io connection logic from agent behavior for testable, maintainable code

NFe.io + Pydantic AI Use Cases

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

Type-safe data pipelines: query NFe.io with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple NFe.io tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query NFe.io and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock NFe.io responses and write comprehensive agent tests

NFe.io MCP Tools for Pydantic AI (10)

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

cancel_merchandise_invoice

Cancel an issued Merchandise Invoice (NF-e)

cancel_service_invoice

Cancel an issued Service Invoice (NFS-e)

create_company

get_company_details

Get detailed info for a specific company issuer

get_merchandise_invoice

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

get_service_invoice

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

issue_merchandise_invoice

Issue a Merchandise Invoice (NF-e)

issue_service_invoice

Issue a Service Invoice (NFS-e)

list_companies

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

list_webhooks

List all configured webhooks in NFe.io

Example Prompts for NFe.io in Pydantic AI

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

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

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

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

Troubleshooting NFe.io MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NFe.io + Pydantic AI FAQ

Common questions about integrating NFe.io 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 NFe.io MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.