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How to Use the BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in Mastra AI

Build resilient Brazilian economic data pipelines with Mastra AI and conditional workflows.

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Connect BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP to Mastra AI

Create your Vinkius account to connect BCB Economia — PIB, Dívida, Reservas, PIX e SGS to Mastra AI 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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Query 20,000+ BCB Series with Mastra AI

`get_serie_bcb` gives your agent direct access to the Central Bank's time series database. You build workflows that pull the IPCA (code 433) or Selic (code 11) and pass that raw data to downstream analysis nodes. If the BCB endpoint times out, the framework's automatic retry logic kicks in with exponential backoff. Complex financial reporting requires reliable data ingestion. You spread the MCP client tools into your agent configuration, and it handles the rest. The system will keep trying until it gets a clean response, ensuring your automated reports never fail due to a temporary network blip.

Automate Macroeconomic Reporting

`get_pib`, `get_divida_pib`, and `get_desemprego` pull the monthly IBC-Br proxy, public debt ratios, and PNAD unemployment figures. Your workflows can conditionally branch based on these results. For example, if the debt-to-GDP ratio crosses a specific threshold, the agent triggers an alert to the risk team. Setting this up takes one line of code to initialize the tools. The framework automatically detects the streamable HTTP transport from Vinkius. You get production-ready financial triggers without writing any custom polling logic.

Monitor PIX and Trade Balance Shifts

`get_pix_estatisticas` and `get_balanca_comercial` track the two fastest-moving parts of the Brazilian economy. You can set up an agent to run daily checks on transaction volumes and commodity export balances. If the numbers look anomalous, you can require human-in-the-loop approval before the agent publishes the final report. This MCP Server turns raw Central Bank data into actionable workflow inputs. Deploying the whole setup to your cloud provider takes a single command. The agent handles the data extraction, formats it, and routes it exactly where your business logic dictates.

Setup guide

Set up BCB Economia — PIB, Dívida, Reservas, PIX e SGS MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All BCB Economia — PIB, Dívida, Reservas, PIX e SGS tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "bcb-economia-pib-divida-reservas-pix-e-sgs-mcp-client",
  servers: {
    "bcb-economia-pib-divida-reservas-pix-e-sgs-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "BCB Economia — PIB, Dívida, Reservas, PIX e SGS Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to BCB Economia — PIB, Dívida, Reservas, PIX e SGS tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent BCB Economia — PIB, Dívida, Reservas, PIX e SGS transactions"
);
console.log(result.text);

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 Mastra AI

Install `@mastra/mcp` and initialize a new `MCPClient` with the Vinkius URL. Call `listTools()` and spread the results into your agent's tool array. The framework handles the transport negotiation automatically.
Definitely. You can configure a workflow to pull the trade balance and branch into different analysis paths based on whether the country is running a surplus or deficit. The built-in engine handles the state transitions.
The framework applies exponential backoff to the tool calls. It will automatically retry the request to the MCP server before failing the entire workflow run.
No. The client auto-detects whether the server is using SSE or Streamable HTTP. You just provide the Vinkius endpoint URL and the system figures out the connection details.
The Vinkius infrastructure operates on a zero-trust model. When your workflow requests unemployment data or international reserves, the execution happens in an ephemeral sandbox that immediately wipes all trace of your specific prompt parameters.

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