How to Use the Correios (Brazil) MCP in CrewAI
Deploy a team of specialized AI agents to manage Correios (Brazil) logistics and track shipments autonomously in CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Correios (Brazil) MCP to CrewAI
Create your Vinkius account to connect Correios (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.
Coordinate multi-agent package tracking pipelines
The `track_object` tool monitors the physical location of Brazilian shipments. In a CrewAI setup, your tracking agent uses this tool to watch for transit delays and hand the data off to a customer-service agent. This division of labor prevents your main agent from getting bogged down in API calls. The tracking agent loops through your active tracking codes, updates the shared memory, and lets the rest of the crew act on the results.
Calculate regional shipping costs with agent teams
The `calculate_price_deadline` tool calculates exact shipping fees across different Brazilian states. Your financial agent calls this tool to compare rates, while a logistics agent matches those rates against delivery deadlines. By running these agents in a sequential crew, you automate the entire quote-to-dispatch pipeline. The crew evaluates the cost, verifies the destination CEP, and recommends the cheapest shipping method.
Audit corporate shipping contracts via CrewAI MCP Server
The `get_contract_status` tool retrieves active service agreements from your Correios corporate account. A dedicated auditor agent in your CrewAI team runs this tool to ensure your account remains active and has access to discount tiers. This MCP Server exposes clean endpoints that your agents can call without needing custom Python wrappers. The crew reads your contract details directly, matching them against active shipments to flag billing discrepancies.
Set up Correios (Brazil) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Correios (Brazil) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Correios (Brazil) Analyst",
goal="Access and analyze Correios (Brazil) data via MCP.",
backstory="Expert analyst with direct Correios (Brazil) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Correios (Brazil) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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 (Brazil) Analyst",
goal="Access and analyze Correios (Brazil) data via MCP.",
backstory="Expert analyst with direct Correios (Brazil) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Correios (Brazil) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 (Brazil) MCP in CrewAI
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