How to Use the Correios do Brazil MCP in CrewAI

Q: Can a CrewAI logistics team share Correios do Brazil data?

Yes. CrewAI agents share memory, meaning the agent running consultcep can pass the resolved address details directly to the agent calculating shipping prices.

Deploy specialized CrewAI agent teams to automate Brazilian logistics and shipping calculations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Correios do Brazil MCP to CrewAI

Create your Vinkius account to connect Correios do Brazil to CrewAI 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 do Brazil with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate logistics teams using CrewAI and this MCP Server

Your logistics crew can divide and conquer shipping tasks. A researcher agent uses `consult_cep` to verify customer destinations, while a pricing agent runs `calculate_prices` to find the most cost-effective shipping method for each order. These agents share memory and pass data back and forth. The coordinator agent reviews the final costs and automatically flags orders that require special handling, executing the entire process without human intervention.

Automate delivery tracking with specialized agents

The `estimate_delivery_time` tool gives your tracking agent the exact transit windows needed for Brazilian orders. A supervisor agent monitors these timelines, comparing estimated delivery days against actual warehouse dispatch times. If a delay is detected, the supervisor agent tasks a support agent with drafting a personalized update for the customer. This MCP Server keeps your autonomous support team informed with live Brazilian postal data.

Resolve complex address issues autonomously

When a customer enters incomplete shipping details, your data-cleansing agent runs `consult_cep` to retrieve the missing neighborhood or state information. The agent uses this official Correios data to rebuild the correct address block. By isolating this task to a specialized agent, your main checkout crew stays focused on pricing. The MCP Server ensures your database remains accurate, preventing expensive return-to-sender loops.

Setup guide

Set up Correios do Brazil MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Correios do Brazil tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Correios do Brazil Analyst",
    goal="Access and analyze Correios do Brazil data via MCP.",
    backstory="Expert analyst with direct Correios do Brazil access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Correios do Brazil transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Correios do Brazil Analyst",
        goal="Access and analyze Correios do Brazil data via MCP.",
        backstory="Expert analyst with direct Correios do Brazil access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Correios do Brazil transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 do 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 do Brazil MCP in CrewAI

You can pass your Vinkius URL directly into the agent's MCP configuration parameter during initialization. The agent automatically discovers and uses the Correios tools.

Yes. CrewAI agents share memory, meaning the agent running `consult_cep` can pass the resolved address details directly to the agent calculating shipping prices.

Absolutely. You can set up a manager agent to oversee shipping tasks, delegating `calculate_prices` calls to specialized subordinate agents.

It supports stdio, SSE, and Streamable HTTP. You can configure the `MCPServerHTTP` class from `crewai.mcp` to filter specific tools for your agents.

All address lookups and shipping queries run inside isolated V8 sandboxes. Your operational logistics data is processed ephemerally and never stored on Vinkius infrastructure.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript