How to Use the Banco Inter MCP in Vercel AI SDK

Q: How do I set up the Banco Inter MCP Server with Vercel AI SDK?

Install the packages via npm install ai @ai-sdk/mcp first. Next, instantiate the Banco Inter connection using createMCPClient targeting the Vinkius endpoint, and pass the tools to generateText.

Q: Can I stream live Banco Inter transaction statements using Vercel AI SDK?

Yes, the Vercel AI SDK works with intergetstatement to stream Banco Inter transaction history directly to your application UI. This allows your users to watch their Banco Inter cash flow load line-by-line.

Q: Does Vercel AI SDK support secure Banco Inter Pix transfers?

Absolutely, you can execute intersendpix through the Vercel AI SDK provided your token has the correct scope. Secure Banco Inter authentication is handled via the authProvider configuration during client initialization.

Q: Do I need to manage connection lifecycles for the Banco Inter and Vercel AI SDK integration?

Yes, you must always call mcpClient.close() once your Vercel AI SDK session finishes processing Banco Inter tools. This prevents open SSE connections from lingering on your serverless edge instances.

Pipe live Banco Inter balances and Pix billing generation directly into your React frontend with the Vercel AI SDK.

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Connect Banco Inter MCP to Vercel AI SDK

Create your Vinkius account to connect Banco Inter 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 Inter with Vercel AI SDK

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Render Live Banco Inter Balances with Vercel AI SDK

The `inter_get_balance` tool lets your Vercel AI SDK client fetch the exact end-of-day balance of your corporate Banco Inter account. Instead of writing heavy backend polling routes, you can stream Banco Inter ledger updates straight to your user interface. Developers configure this by running `createMCPClient` to connect the Banco Inter MCP Server directly to `streamText`. You get zero-latency updates that display corporate Banco Inter funds without freezing the browser.

Generate Instant Banco Inter Pix Invoices on the Edge

The `inter_create_pix_billing` tool requires a taxpayer ID and value to generate immediate Banco Inter QR codes within your Vercel AI SDK application. When integrated with the Vercel AI SDK, your customer-facing chat agent generates these payment codes on the fly. Because the Vercel AI SDK works in Edge Functions, you can close the Banco Inter MCP connection using `mcpClient.close()` as soon as the Pix payload delivers. This keeps your serverless execution bills low while Banco Inter payments process in milliseconds.

Interactive Banco Inter Boleto Search via Vercel AI SDK

The `inter_get_boleto` tool pulls the exact payment status of any slip in your Banco Inter account to display inside Vercel AI SDK frontend components. Your React-based agent can search, filter, and render this financial data in real-time as the user types their inquiry. By feeding the Banco Inter MCP Server tools into your Vercel AI SDK generative UI loop, you bypass traditional API middleware entirely. The end user sees their active Banco Inter boletos materialize on screen without staring at a loading spinner.

Setup guide

Set up Banco Inter 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 Inter 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 Inter 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 Inter. 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 Banco Inter MCP in Vercel AI SDK

Install the packages via `npm install ai @ai-sdk/mcp` first. Next, instantiate the Banco Inter connection using `createMCPClient` targeting the Vinkius endpoint, and pass the tools to `generateText`.

Yes, the Vercel AI SDK works with `inter_get_statement` to stream Banco Inter transaction history directly to your application UI. This allows your users to watch their Banco Inter cash flow load line-by-line.

Absolutely, you can execute `inter_send_pix` through the Vercel AI SDK provided your token has the correct scope. Secure Banco Inter authentication is handled via the `authProvider` configuration during client initialization.

Yes, you must always call `mcpClient.close()` once your Vercel AI SDK session finishes processing Banco Inter tools. This prevents open SSE connections from lingering on your serverless edge instances.

All Banco Inter statements, balances, and Pix payloads are processed inside an isolated Vinkius V8 sandbox. The Vercel AI SDK routes these sensitive financial payloads through encrypted HTTPS connections directly to your application environment, never storing them.

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