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Correios (Brazil) MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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

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 Correios (Brazil) "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())
Correios (Brazil)
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* 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 Correios (Brazil) MCP Server

Connect your AI agents to Correios, the official national postal service of Brazil. This MCP provides 9 tools to automate real-time object tracking, calculate shipping deadlines and prices (PAC, SEDEX), and retrieve accurate address information using Brazilian zip codes (CEP) directly through natural conversation.

Pydantic AI validates every Correios (Brazil) 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

  • Logistics Orchestration — Track multiple packages and retrieve granular status updates and historical events
  • Shipping Intelligence — Calculate delivery deadlines and prices for various services between any two zip codes
  • Address Validation — Retrieve complete street, neighborhood, and city details for any Brazilian CEP
  • Business Integration — Access organizational contract configurations and list authorized service codes programmatically
  • Regional Insights — Verify the state and city information associated with specific postal zones

The Correios (Brazil) 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 Correios (Brazil) to Pydantic AI via MCP

Follow these steps to integrate the Correios (Brazil) MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 8 tools from Correios (Brazil) with type-safe schemas

Why Use Pydantic AI with the Correios (Brazil) MCP Server

Pydantic AI provides unique advantages when paired with Correios (Brazil) through the Model Context Protocol.

01

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

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Correios (Brazil) integration code

03

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

04

Dependency injection system cleanly separates your Correios (Brazil) connection logic from agent behavior for testable, maintainable code

Correios (Brazil) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Correios (Brazil) MCP Server delivers measurable value.

01

Type-safe data pipelines: query Correios (Brazil) with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Correios (Brazil) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Correios (Brazil) and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Correios (Brazil) responses and write comprehensive agent tests

Correios (Brazil) MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Correios (Brazil) to Pydantic AI via MCP:

01

calculate_price_deadline

Calculate shipping price and delivery deadline

02

get_contract_status

Check the current status of your Correios contract

03

get_unit_info

Get details for a specific post office unit

04

list_contract_services

, associated with your account. List all postage services available in your contract

05

list_unit_types

List all types of Correios units

06

lookup_cep

Get address information from a Brazilian ZIP code (CEP)

07

search_units_by_cep

Search for nearby post office units

08

track_object

Track a package status using its tracking code

Example Prompts for Correios (Brazil) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Correios (Brazil) immediately.

01

"Track Correios object 'QI123456789BR' and show its latest status."

02

"Calculate shipping for a 2kg box from CEP 01310-100 to 20040-002."

03

"Find the address details for CEP '01310-914'."

Troubleshooting Correios (Brazil) MCP Server with Pydantic AI

Common issues when connecting Correios (Brazil) to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Correios (Brazil) + Pydantic AI FAQ

Common questions about integrating Correios (Brazil) MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Correios (Brazil) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Correios (Brazil) to Pydantic AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.