How to Use the BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP in OpenAI Agents SDK

Plug the BCB Inflação — IPCA, IGP-M, INPC e Expectativas data into your OpenAI Agents SDK production pipeline.

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Connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP to OpenAI Agents SDK

Create your Vinkius account to connect BCB Inflação — IPCA, IGP-M, INPC e Expectativas to OpenAI Agents SDK 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 BCB Inflação — IPCA, IGP-M, INPC e Expectativas with OpenAI Agents SDK

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Real-time Brazilian inflation data for OpenAI Agents SDK

Stop guessing market trends and pull raw Central Bank figures directly into your agent logic. Use `get_ipca` or `get_ipca15` to feed the official CPI and its advance reading into your decision-making loop. This MCP Server provides the exact math needed for financial modeling within your Python environment. Connect the tools via the Agent constructor and let your system handle the heavy lifting without manual data entry.

Automated Focus Survey analysis

Access the Central Bank's expectation reports without leaving your code. The `get_expectativas_inflacao` tool returns the median, mean, and standard deviation for your predictive models. Your agent can now contrast current inflation prints against market consensus. It turns raw Focus Survey text into structured data points for your production workflows.

Contract index tracking for agents

Automate rent and wage adjustments by querying `get_igpm` and `get_inpc`. These indices provide the historical baseline your agents need for accurate financial contract management. By feeding these series into your agent, you eliminate manual lookup errors. Your Python code now maintains a direct line to the authoritative indices governing Brazilian economic policy.

Setup guide

Set up BCB Inflação — IPCA, IGP-M, INPC e Expectativas MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all BCB Inflação — IPCA, IGP-M, INPC e Expectativas tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives BCB Inflação — IPCA, IGP-M, INPC e Expectativas tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate BCB Inflação — IPCA, IGP-M, INPC e Expectativas tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="BCB Inflação — IPCA, IGP-M, INPC e Expectativas Agent",
            instructions="You have access to BCB Inflação — IPCA, IGP-M, INPC e Expectativas tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point your agent at the server URL. Once you pass it into the agent constructor, the SDK automatically maps the tools for execution.

Yes. You can implement custom guardrails within the agent to validate the numerical output before it triggers any downstream financial actions.

It does. Since the SDK is built on async Python, the HTTP transport manages non-blocking requests to the Central Bank data endpoints efficiently.

You pass specific string arguments to the tool calls. For example, `get_expectativas_inflacao` accepts parameters to target specific indices like IPCA or IGP-M directly.

Your connection is ephemeral and handled via a single endpoint token. The server only transmits public economic series like SGS 189 or 433, ensuring no proprietary user data ever touches the Central Bank endpoints.

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