How to Use the Correios do Brazil MCP in AutoGen
Let your AutoGen agents debate and optimize Brazilian shipping logistics using real-time Correios data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Correios do Brazil MCP to AutoGen
Create your Vinkius account to connect Correios do 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 decisions in AutoGen
By giving both agents access to `calculate_prices` and `estimate_delivery_time`, they can debate the best shipping method for an order. In a multi-agent setup, one agent can focus entirely on minimizing shipping costs while another prioritizes speed. The agents negotiate until they find a consensus that meets your business rules. This turns a simple API lookup into an automated decision-making process that balances customer satisfaction and profit margins.
Validate addresses via agent-to-agent verification
Let a dedicated validation agent run `consult_cep` to check a customer's address details. If the ZIP code points to a high-risk delivery zone, that agent can raise a flag to a security agent before any shipping labels are purchased. This conversational workflow ensures that address errors are caught and debated by your agents before they reach your warehouse, saving you money on returned packages and failed deliveries.
Run automated logistics audits with an MCP Server
Set up an auditor agent that regularly runs `calculate_prices` to verify that the shipping fees charged to customers match the current live rates from the Correios API. This auditor agent regularly reviews pending orders. If a discrepancy is found, the auditor agent alerts your sales agent to adjust the invoice. This constant, agent-driven auditing keeps your shipping margins healthy without manual oversight.
Set up Correios do 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 do 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 do Brazil_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Correios do 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 do Brazil_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Correios do 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.
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Common questions about Correios do Brazil MCP in AutoGen
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