Correios API (REST) MCP Server for Pydantic AIGive Pydantic AI instant access to 2 tools to Calculate Price Deadline and Track Object

Name: Correios API (REST)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Correios API (REST) MCP Server for Pydantic AI is a standout in the Ecommerce category — giving your AI agent 2 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 API (REST) "
            "(2 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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<40msKill switch

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 Correios API (REST) MCP Server

Connect your AI agent to the Correios infrastructure to automate logistics queries in Brazil. This server provides direct access to the official REST API for real-time tracking and shipping simulations.

Pydantic AI validates every Correios API (REST) tool response against typed schemas, catching data inconsistencies at build time. Connect 2 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

Object Tracking — Get the full history of events and current status for any valid tracking code (e.g., AA123456789BR) using the track_object tool.
Shipping Calculation — Simulate prices and delivery deadlines for various services like SEDEX and PAC based on weight, dimensions, and zip codes with calculate_price_deadline.
Logistics Automation — Integrate shipping data into your e-commerce or support workflows without manual lookups.

The Correios API (REST) MCP Server exposes 2 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 Correios API (REST) tools available for Pydantic AI

When Pydantic AI connects to Correios API (REST) through Vinkius, your AI agent gets direct access to every tool listed below — spanning correios, brazil-logistics, tracking-api, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

calculate

Calculate price deadline on Correios API (REST)

Uses POST but acts as a query. Calculate shipping price and deadline

track

Track object on Correios API (REST)

Track a postal object

Connect Correios API (REST) to Pydantic AI via MCP

Follow these steps to wire Correios API (REST) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 2 tools from Correios API (REST) with type-safe schemas

Why Use Pydantic AI with the Correios API (REST) MCP Server

Pydantic AI provides unique advantages when paired with Correios API (REST) 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 Correios API (REST) integration code

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

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

Correios API (REST) + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Correios API (REST) in Pydantic AI

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

"Track the object with code NL123456789BR."

"Calculate SEDEX shipping from 01001-000 to 22041-001 for a 500g box (20x15x10cm)."

"What is the current status of my package AA987654321BR?"

Troubleshooting Correios API (REST) MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Correios API (REST) + Pydantic AI FAQ

Common questions about integrating Correios API (REST) 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 Correios API (REST) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.