How to Use the BCB Juros — Selic, CDI e Expectativas Focus MCP in OpenAI Agents SDK

Feed real-time Brazilian interest rates straight into your OpenAI Agents SDK workflows with production-grade guardrails.

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Connect BCB Juros — Selic, CDI e Expectativas Focus MCP to OpenAI Agents SDK

Create your Vinkius account to connect BCB Juros — Selic, CDI e Expectativas Focus 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 Juros — Selic, CDI e Expectativas Focus with OpenAI Agents SDK

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Check Brazilian interest rates in OpenAI Agents SDK

Your OpenAI Agents SDK workflow uses `get_selic_meta` to pull the official COPOM target rate directly from the Central Bank of Brazil. The SDK's built-in guardrails validate this rate before your agent makes any downstream financial decisions or agent handoffs. You get clean, official interest rate data without manual scraping. By wrapping this MCP Server, your production agent evaluates Brazil's macroeconomic environment using real-time numbers, completely avoiding hallucinated yields.

Monitor daily CDI and Selic discrepancies

Your agent calls `get_cdi` and `get_selic_diaria` to run automated checks on the spread between the daily effective Selic rate and the CDI. This setup passes the results to a specialized analyst agent for spread calculations. Tracking SGS Series 11 and 12 side-by-side becomes straightforward with this tool. The OpenAI tracing dashboard logs every single tool call, so you can audit exactly how your agent calculated the spread during high-volatility days in the Brazilian market.

Forecast portfolio trends with Focus Survey data

Feed the latest market expectations into your automated financial reports using `get_expectativas_selic`. Your agent pulls the median, mean, and range of institutional forecasts published every Monday by the BCB. Instead of hardcoding projections, your agent dynamically adjusts investment models based on actual market sentiment. The MCP Server ensures your agent always works with the latest Focus Survey data, making your financial forecasts highly defensible.

Setup guide

Set up BCB Juros — Selic, CDI e Expectativas Focus 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 Juros — Selic, CDI e Expectativas Focus tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives BCB Juros — Selic, CDI e Expectativas Focus 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 Juros — Selic, CDI e Expectativas Focus 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 Juros — Selic, CDI e Expectativas Focus Agent",
            instructions="You have access to BCB Juros — Selic, CDI e Expectativas Focus tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about BCB Juros — Selic, CDI e Expectativas Focus MCP in OpenAI Agents SDK

Install the package and pass the MCP Server URL using MCPServerStreamableHttp in your Python script. Your OpenAI Agents SDK agent will auto-discover the tools like get_cdi and make them immediately available for invocation.

Yes, you can use the SDK's built-in guardrails to check the numbers returned by get_selic_meta before they reach other agents. This prevents bad data from corrupting your downstream financial calculations.

The MCP Server pulls directly from the Central Bank of Brazil's SGS API. When your agent calls get_selic_diaria, it gets the exact daily effective rate recorded by the central bank, ensuring your system operates on fresh data.

Yes, the server handles concurrent requests smoothly. Your multi-agent system can query get_expectativas_selic and get_cdi simultaneously, with OpenAI's tracing dashboard tracking each parallel call.

The MCP Server only processes public interest rate data from the Central Bank of Brazil. Your specific queries for Selic or CDI rates run in an isolated sandbox, meaning your private portfolio details are never logged or stored.

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