How to Use the BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP in AutoGen
Enable multi-agent debates over Brazilian macroeconomic trends using AutoGen.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP to AutoGen
Create your Vinkius account to connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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.
Fuel multi-agent debates with real inflation data
The `get_ipca` tool provides the official Broad National Consumer Price Index (SGS series 433) directly to your AutoGen conversation loop. This tool serves as the ground truth when agents debate monetary policy impacts. One agent can analyze the official IPCA figures while another agent critiques the findings. This setup ensures that your automated economic debates rely on verified government metrics rather than static knowledge.
Run predictive market simulations using an MCP Server
The `get_expectativas_inflacao` tool fetches the Focus Survey expectations, giving your agents access to mean, median, and extreme market forecasts. This allows specialized agents to simulate different financial scenarios. You can assign one agent to represent optimistic market views using the minimum forecast bounds. A second agent can build worst-case models using the maximum standard deviation limits, producing a balanced consensus report.
Automate contract adjustments in agent conversations
The `get_igpm` tool delivers the index used for adjusting most Brazilian rental and commercial agreements via our MCP tools. This index combines wholesale, consumer, and construction costs to reflect broader market shifts. During a negotiation simulation, your finance agent can pull this index alongside `get_inpc` to propose fair salary and lease adjustments. AutoGen coordinates this exchange, ensuring all agents agree on the math before finalizing the contract.
Set up BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent BCB Inflação — IPCA, IGP-M, INPC e Expectativas 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 Inflação — IPCA, IGP-M, INPC e Expectativas MCP in AutoGen
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