How to Use the BCB Full — Inteligência Financeira Completa do Brasil MCP in Vercel AI SDK

Q: Can I fetch Focus Survey expectations in Next.js using BCB Full — Inteligência Financeira Completa do Brasil and Vercel AI SDK?

Yes. Your agent can call getexpectativasinflacao or getexpectativasselic to retrieve the latest market consensus. The SDK then streams these projections directly to your frontend without requiring custom backend API endpoints.

Feed live Brazilian financial metrics directly into your Next.js frontend with the Vercel AI SDK.

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Connect BCB Full — Inteligência Financeira Completa do Brasil MCP to Vercel AI SDK

Create your Vinkius account to connect BCB Full — Inteligência Financeira Completa do Brasil to Vercel AI 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 Full — Inteligência Financeira Completa do Brasil with Vercel AI SDK

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Stream Real-Time Exchange Rates to Your UI

This MCP Server lets your agent grab live PTAX quotes using `get_cotacao_dolar` and stream them right into your React components. Your users get instant updates on commercial rates or historical ranges via `get_dolar_periodo`. Because it works on the edge, the data flows directly into the Vercel AI SDK stream without hitting cold-start bottlenecks.

Live Inflation and CDI Charts with Vercel AI SDK

Render dynamic charts of Brazilian inflation indices like `get_ipca` or `get_igpm` as the model processes the request. You can also pull the daily CDI rate using `get_cdi` to show live investment yields. It makes building Brazilian fintech dashboards a lot cleaner since you don't need to write custom wrapper APIs for this MCP tool.

Direct SGS Time-Series Queries

Give your frontend the power to pull any of the 20,000+ custom economic series directly using `get_serie_bcb`. If you need historical unemployment rates via `get_desemplego` or public debt ratios from `get_divida_pib`, this MCP integration handles the heavy lifting. Your typescript code stays clean while the agent does the hard work of translating natural language into exact SGS codes.

Setup guide

Set up BCB Full — Inteligência Financeira Completa do Brasil MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all BCB Full — Inteligência Financeira Completa do Brasil tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent BCB Full — Inteligência Financeira Completa do Brasil transactions",
});

console.log(text);
await mcpClient.close();

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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 Full — Inteligência Financeira Completa do Brasil MCP in Vercel AI SDK

You register the server's tools with your helper client and pass them to streamText. The model calls get_cotacao_dolar when a user asks for exchange rates, and the SDK streams the raw numbers directly into your UI components.

Yes. Your agent can call get_expectativas_inflacao or get_expectativas_selic to retrieve the latest market consensus. The SDK then streams these projections directly to your frontend without requiring custom backend API endpoints.

The server runs in an isolated sandbox managed by Vinkius, meaning your edge functions only need to make a fast HTTP call. You won't run into timeout limits while fetching heavy datasets like get_dolar_periodo.

Install @ai-sdk/mcp and use createMCPClient pointing to your Vinkius endpoint. Then, pass the tools array directly into generateText or streamText to let your agent query things like get_selic_meta.

Your queries for Brazilian macroeconomic indicators and currency rates are processed in an ephemeral sandbox. Vinkius secures the transport layer with end-to-end encryption, and no raw query logs are stored on the server after the session closes.

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