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Vinkius
Pydantic AISDK
Pydantic AI
Correios API (REST) MCP Server

Bring Correios
to Pydantic AI

Learn how to connect Correios API (REST) to Pydantic AI and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Calculate Price DeadlineTrack Object

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Correios API (REST)

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. Enter your Correios API credentials (User and Password)
  3. Start querying logistics data from Claude, Cursor, or any MCP client

Who is this for?

  • E-commerce Owners — quickly check delivery statuses for customers and provide proactive updates.
  • Logistics Managers — automate shipping cost estimations for different regions in Brazil directly from the terminal or chat.
  • Support Teams — provide instant tracking updates within AI-powered chat interfaces without leaving the conversation.

Built-in capabilities (2)

calculate_price_deadline

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

track_object

Track a postal object

Why Pydantic AI?

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.

  • 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

P
See it in action

Correios API (REST) in Pydantic AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Correios API (REST) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Correios API (REST) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Correios API (REST) in Pydantic AI

The Correios API (REST) 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. All 2 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Correios API (REST)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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

The Vinkius Advantage

How Vinkius secures Correios API (REST) for Pydantic AI

Every tool call from Pydantic AI to the Correios API (REST) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

What information do I need to calculate a shipping price?

You need to provide the origin and destination ZIP codes (CEP), the service code (e.g., 04014 for SEDEX), weight, package format, and dimensions (length, height, width) using the calculate_price_deadline tool.

02

Can I track multiple objects at once?

The track_object tool currently processes one tracking code per request to ensure detailed event history for that specific item.

03

What is the 'idLote' field in the shipping calculation?

The idLote (Batch ID) is a required identifier for the Correios API request. It can be any string or number used to identify your specific calculation request in their logs.

04

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.

05

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.

06

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.

07

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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