How to Use the Banco do Brasil MCP in Vercel AI SDK

Q: How do I show Banco do Brasil transactions in my Vercel AI SDK app?

Use the getstatement tool. Pass the start and end dates, and the MCP Server will stream transaction data directly into your UI. Your users will see their statement populate in real time.

Q: Can I create Pix payments with the Vercel AI SDK and Banco do Brasil?

Yes, the createpix tool is what you'll use. You can build a form in your app that collects the recipient's key and the amount, then calls the tool to initiate the transfer.

Q: Is it possible to check my Banco do Brasil account balance with the Vercel AI SDK?

Absolutely. Call the getbalance tool. It returns the current balance and available limits, which you can then display instantly in your Next.js or React application.

Q: What's the setup for connecting the AI SDK to this server?

Install the @ai-sdk/mcp package. Then, in your code, use createMCPClient and point the HTTP transport to the Vinkius URL we provide. You'll get the tools object to pass into generateText or streamText.

Stream Banco do Brasil account data directly into your Vercel AI SDK app's UI. No more loading spinners.

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Connect Banco do Brasil MCP to Vercel AI SDK

Create your Vinkius account to connect Banco 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 Banco do Brasil with Vercel AI SDK

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Live Account Balances & Statements

Use `get_balance` and `get_statement` to stream real-time account info right into your UI components. Your users can watch their transaction history load line-by-line instead of waiting for a full API response. It's a much better experience than a static page refresh. The Vercel AI SDK makes this simple. Tool results from this MCP Server flow directly into your React or Svelte components. You can build a dashboard that feels alive, showing balances, credit card invoices from `get_credit_card_invoices`, and upcoming payments from `get_scheduled_payments` as they're fetched.

Build Real-Time Payment UIs

Let users send money without leaving your app. The `create_pix` tool lets you build a front-end form that kicks off a Pix payment. Your user enters the details, hits send, and gets instant feedback streamed back to the UI. You can also build interfaces for paying bills. Hook up `pay_barcode` and `pay_utility_bill` to a component that uses the device camera. The user scans a barcode, confirms the details, and the payment is made, with all confirmation messages streaming back through the AI SDK.

A Secure MCP Backend for Your Frontend

This server connects your Vercel AI SDK app to Banco do Brasil's core functions. You don't have to build or manage the backend plumbing for authentication and API calls. Vinkius handles the connection and security. All you need is the single endpoint token. Your `createMCPClient` call points to our managed server, and you get access to the tools. It's a fast way to add powerful banking features to your user-facing applications.

Setup guide

Set up Banco 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 Banco 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 Banco do Brasil transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Banco 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Banco do Brasil MCP in Vercel AI SDK

Use the `get_statement` tool. Pass the start and end dates, and the MCP Server will stream transaction data directly into your UI. Your users will see their statement populate in real time.

Yes, the `create_pix` tool is what you'll use. You can build a form in your app that collects the recipient's key and the amount, then calls the tool to initiate the transfer.

Absolutely. Call the `get_balance` tool. It returns the current balance and available limits, which you can then display instantly in your Next.js or React application.

Install the `@ai-sdk/mcp` package. Then, in your code, use `createMCPClient` and point the HTTP transport to the Vinkius URL we provide. You'll get the tools object to pass into `generateText` or `streamText`.

Your connection is secured through a unique Vinkius token. The server only processes the data needed for a specific tool call, like account numbers for `get_balance` or transaction details for `get_statement`. All operations happen in an isolated, ephemeral environment that's destroyed after the request is finished.

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