How to Use the Correios (Brazil) MCP in AutoGen
Deploy multi-agent shipping debates using the Correios MCP Server in AutoGen.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Correios (Brazil) MCP to AutoGen
Create your Vinkius account to connect Correios (Brazil) to AutoGen 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 shipping debates in AutoGen
`calculate_price_deadline` provides the baseline pricing data that your AutoGen shipping agent and finance agent use to negotiate shipping options. The shipping agent calls this tool to find the fastest delivery method, while the finance agent analyzes the budget constraints to determine if the cost is acceptable. They negotiate shipping rates over the MCP connection in an automated chat loop. This ensures your system never selects an expensive express shipping option when a cheaper contract service would meet the customer's deadline.
Automate package exception handling via specialized agents
`track_object` is used by a specialized tracking agent to monitor active deliveries in Brazil. If a package is flagged as delayed, this agent alerts a customer service agent within the AutoGen group to draft an apology email. The agents collaborate to resolve the issue without human intervention. The tracking agent provides the raw status, while the resolution agent matches it with `get_unit_info` to tell the customer exactly which post office is holding their package.
Validate address databases through agent consensus
`lookup_cep` allows your validation agent to verify user-submitted addresses before passing them to the billing agent. If the CEP is invalid or doesn't match the state, the validation agent rejects the transaction and requests a correction. This multi-agent verification loop prevents shipping failures before labels are purchased. By combining this with `search_units_by_cep`, a logistics agent can even suggest alternative pickup locations if the residential address is in an undeliverable zone.
Set up Correios (Brazil) MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Correios (Brazil) tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Correios (Brazil)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Correios (Brazil) data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Correios (Brazil)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Correios (Brazil) data")
print(result.messages[-1].content) 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.
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 (Brazil) MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Correios (Brazil) MCP today
We host it, we monitor it, we maintain it. You just paste one token.