How to Use the BrasilAPI MCP in AutoGen

Q: How do AutoGen agents handle errors from BrasilAPI?

If a tool like getfipevehicleprice fails, the calling agent receives the error message and explains the issue to the group. The coordinator agent can then decide to change the search parameters or ask the user for help.

Let AutoGen agents debate corporate records, resolve CEP addresses, and verify FIPE prices through collaborative workflows.

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Connect BrasilAPI MCP to AutoGen

Create your Vinkius account to connect BrasilAPI 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.

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Setup BrasilAPI with AutoGen

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Let AutoGen agents debate Brazilian company data

Set up a multi-agent conversation where one agent retrieves corporate records using `get_cnpj_details` and another verifies the tax status. This collaborative setup ensures that your system catches inconsistent business details before they reach your database. This MCP Server provides structured JSON payloads that agents can easily parse and discuss. If the lookup agent finds an inactive company, the compliance agent can flag it and stop the onboarding workflow.

Resolve CEP addresses through multi-agent consensus

Use `get_cep_details` within an agent group to verify shipping destinations via our MCP Server. One agent fetches the address details, while a routing agent matches the neighborhood against local delivery zones to calculate shipping rates. By combining `list_brazilian_states`, the routing agent can confirm if the state code matches the regional tax zone. The conversation continues until both agents agree that the address and tax region are valid.

Audit vehicle valuations using FIPE and bank data

Have your agents fetch car values with `get_fipe_vehicle_price` while a separate financial agent queries `list_brazilian_banks`. They can debate whether a specific lender's rate matches the current market value of the asset. This multi-agent setup prevents single-point errors when evaluating collateral. The agents negotiate the final valuation based on the live FIPE data and the list of active institutions, presenting a unified decision.

Setup guide

Set up BrasilAPI 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes BrasilAPI tools and returns structured results.

agent.py

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="BrasilAPI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BrasilAPI data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="BrasilAPI_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BrasilAPI data")
    print(result.messages[-1].content)

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 BrasilAPI. 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 BrasilAPI MCP in AutoGen

Use the AutoGen MCP extension to fetch the tools from the Vinkius URL. Pass the resulting tool list to your AssistantAgent constructor so the agent can invoke things like `get_cnpj_details` during conversations.

Yes, the tools are registered to the conversational environment, meaning any agent in the group can call `get_cep_details` or `list_brazilian_banks` when it is their turn to speak.

If a tool like `get_fipe_vehicle_price` fails, the calling agent receives the error message and explains the issue to the group. The coordinator agent can then decide to change the search parameters or ask the user for help.

Yes, the AutoGen tool adapter handles all the schema translation between the MCP Server and the agent's internal representation. You don't need to write manual JSON schemas for the Brazilian data endpoints.

The Vinkius hosting platform processes all Brazilian corporate and postal queries in zero-trust sandboxes. Your sensitive tax IDs and address inputs are processed in memory and wiped as soon as the agent conversation ends.

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