How to Use the Correios API (REST) MCP in CrewAI

Deploy specialized agent teams with CrewAI to automate Brazilian shipping calculations and package tracking.

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Connect Correios API (REST) MCP to CrewAI

Create your Vinkius account to connect Correios API (REST) 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.

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Setup Correios API (REST) with CrewAI

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Perplexity

Multi-agent logistics coordination

One agent shouldn't have to do everything. This MCP Server allows you to have a researcher agent check delivery options using `calculate_price_deadline` while a separate customer service agent drafts the email updates. They share memory and collaborate on the same task. This setup turns simple API calls into an autonomous logistics department. Your agents pass data back and forth, resolving shipping queries without human intervention.

Automated package monitoring crews

Keep a dedicated agent watching your high-value shipments. By feeding `track_object` to a monitoring agent, it can regularly check the status of Correios packages. If an issue arises, the monitor escalates the ticket to a resolver agent. You define the roles, and the crew handles the rest. The sequential execution model ensures that tracking data is analyzed thoroughly before any action is taken.

Selective tool exposure for security

You might not want every agent in your crew to have full access to shipping tools. CrewAI lets you filter which agents can run `calculate_price_deadline`. This prevents your public-facing agents from making unauthorized pricing calls. You configure the tool filter during setup, keeping your logistics pipeline secure. It ensures your agents only use the tools they actually need to do their jobs.

Setup guide

Set up Correios API (REST) 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 API (REST) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Correios API (REST) 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 API (REST) Analyst",
        goal="Access and analyze Correios API (REST) data via MCP.",
        backstory="Expert analyst with direct Correios API (REST) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Correios API (REST) 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.

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Common questions about Correios API (REST) MCP in CrewAI

You can pass the Vinkius MCP Server URL directly into the agent's configuration. The framework automatically discovers the available tracking and pricing tools. Your agent is ready to query Brazilian postal data immediately.

Yes, you can use the MCPServerHTTP class to filter tool exposure. This lets you restrict access to tracking tools to specific logistical agents. It keeps your multi-agent architecture clean and secure.

The framework supports stdio, SSE, and Streamable HTTP transports. It automatically configures the MCP connection based on the Vinkius endpoint you provide. You get a stable, low-latency link to the Brazilian postal service.

Yes, agents share a common memory space during crew execution. When one agent retrieves tracking info, other agents can access that context. This prevents redundant API requests and speeds up the entire workflow.

All address queries and tracking codes are handled within your private execution context. The V8 sandbox ensures that no data persists on the Vinkius MCP gateway. Your logistical data is completely isolated and secure.

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