How to Use the Correios (Brazil) MCP in Pydantic AI

Use Correios (Brazil) with Pydantic AI to validate shipping data and package status with strict type safety.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Correios (Brazil) MCP to Pydantic AI

Create your Vinkius account to connect Correios (Brazil) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Correios (Brazil) with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate shipment math with Pydantic AI

The `calculate_price_deadline` tool returns a structured response that Pydantic AI checks for correctness. If the API returns junk, the agent stops immediately. This forces your code to handle real data. You never work with silent errors or corrupted shipping quotes.

Monitor status codes in Pydantic AI

Use `track_object` to get real-time status updates for your shipments. Your agent validates the tracking response against your expected schema. If the status format changes, the validation fails. You catch breaking changes before they reach your end users.

Query unit types using Pydantic AI

The `list_unit_types` tool provides a catalog of post office classifications. Your agent uses these types to categorize locations correctly. Pydantic AI enforces the structure of this list. Your downstream logic receives clean, typed data every time.

Setup guide

Set up Correios (Brazil) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "correios-brazil-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Correios (Brazil) tools.",
)

result = await agent.run("List recent Correios (Brazil) transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Correios. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Correios (Brazil) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Correios (Brazil) MCP in Pydantic AI

Install the slim package and define an MCPToolset with your Vinkius URL. Pass this toolset into your Agent to start making type-safe calls.

Because the agent validates every response against a Pydantic model, it cannot invent fields. It only processes the exact data returned by the server.

The server works over Streamable HTTP and SSE. You define the transport in the toolset constructor to match your server configuration.

The token is passed through the Vinkius header. Your local Pydantic AI code remains clean and does not need to handle raw authentication logic.

Your address strings are validated locally in memory. Vinkius ensures that the transit of this data is protected by ephemeral, encrypted connections.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python