How to Use the BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in AutoGen
Fuel AutoGen agent debates with live Brazilian macroeconomic indicators via this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP to AutoGen
Create your Vinkius account to connect BCB Economia — PIB, Dívida, Reservas, PIX e SGS 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.
Multi-Agent Debates on Brazilian Fiscal Health
Complex emerging markets require competing perspectives. You can assign one AutoGen agent to monitor fiscal risk using `get_divida_pib` while another focuses on economic growth via `get_pib`. They pull the live data independently and argue over the implications for the Brazilian real. This negotiation produces better analysis than a single LLM prompt. The growth agent might see a spike in the IBC-Br monthly proxy and suggest market optimism. The risk agent counters by pointing out an increasing public debt ratio, forcing the system to output a nuanced, consensus-driven investment thesis.
Cross-Examine PIX Volumes and Unemployment
Domestic consumption tells a different story than official labor stats. Your AutoGen setup can task a consumer behavior agent to pull `get_pix_estatisticas` for real-time transaction velocity. Simultaneously, a macro agent grabs the PNAD labor data using `get_desemprego`. The agents then cross-examine the results. If PIX transactions are surging but the unemployment rate remains high, the agents debate whether the informal economy is driving the growth. They challenge each other's assumptions based on the hard numbers returned by the tools.
Validate Trade Balance Against FX Reserves
Currency stability requires deep data validation. One agent pulls the commodity export surplus using `get_balanca_comercial`. Another agent checks the Central Bank's exact USD holdings via `get_reservas`. If the numbers don't align with expected trends, a third agent can step in and use `get_serie_bcb` to pull historical exchange rates from the SGS database. The AutoGen squad uses the MCP Server to debate the discrepancy, negotiating a final assessment of Brazil's capacity to honor external commitments.
Control the Conversation with Critic Agents
Unchecked agents will debate economic policy forever. You fix this by adding a critic agent to your AutoGen group chat. This agent doesn't call tools itself, but instead evaluates the data pulled by the other agents. Once the critic decides enough evidence has been gathered from the Central Bank endpoints, it terminates the chat. This keeps your API costs low and ensures the system actually delivers a final verdict on the Brazilian market conditions.
Set up BCB Economia — PIB, Dívida, Reservas, PIX e SGS 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 BCB Economia — PIB, Dívida, Reservas, PIX e SGS 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="BCB Economia — PIB, Dívida, Reservas, PIX e SGS_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent BCB Economia — PIB, Dívida, Reservas, PIX e SGS 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="BCB Economia — PIB, Dívida, Reservas, PIX e SGS_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent BCB Economia — PIB, Dívida, Reservas, PIX e SGS 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 Banco Central do Brasil. 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 BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in AutoGen
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