How to Use the Cora Bank MCP in Vercel AI SDK

Q: How do I add Cora Bank tools to my Vercel AI SDK project?

Install @ai-sdk/mcp and instantiate the client with the Vinkius connection URL. Pass the tools from mcpClient.tools() directly into generateText or streamText to let your AI client access your financial data.

Q: Can my users cancel pending bank slips directly from the UI?

They can. Your frontend calls coracancelinvoice through the AI client, which immediately updates the status of the Boleto on Cora Bank's ledger. The user sees the cancellation confirmation stream in real-time.

Build live financial dashboards that stream Cora Bank balances and Pix invoices directly into your React UI using Vercel AI SDK and the Cora Bank MCP Server.

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Connect Cora Bank MCP to Vercel AI SDK

Create your Vinkius account to connect Cora Bank 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 Cora Bank with Vercel AI SDK

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Real-time Cora Bank balance streaming in Vercel AI SDK

`cora_get_balance` gives your Vercel AI SDK application instant access to your current cash reserves and pending funds. Your React components render the financial data immediately as the token stream arrives, bypassing the usual loading spinners that slow down traditional banking dashboards. By feeding this tool to `streamText`, you let users ask their AI client about cash flow and watch the numbers update live on screen. The MCP Server retrieves the exact Brazilian Real figures directly from your Cora business account.

Instant Pix and Boleto creation with immediate UI feedback

`cora_create_invoice` generates official Brazilian bank slips and Pix QR codes on demand within your web app. Your users can ask the AI client to bill a customer, and the Vercel AI SDK instantly streams the payment links straight to their active chat interface. If a customer disputes a charge, your frontend can immediately invoke `cora_cancel_invoice` through the same chat interface. You don't have to build complex state machines because the MCP Server handles the raw API communication with Cora Bank behind the scenes.

Live cash flow audits and payment history tables

`cora_get_statement` pulls your entire banking history and formats it into clean JSON that your AI client translates into interactive UI tables. Your users get a clear view of incoming payments and outgoing transfers without refreshing the page. When users need to verify outgoing cash, `cora_list_payments` retrieves historical transfers to suppliers or employees. This lets you build internal tools where financial controllers ask plain-English questions and get instant, verified answers.

Setup guide

Set up Cora Bank 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 Cora Bank 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 Cora Bank 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 Cora Bank. 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 Cora Bank MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and instantiate the client with the Vinkius connection URL. Pass the tools from `mcpClient.tools()` directly into `generateText` or `streamText` to let your AI client access your financial data.

Yes. The Vinkius MCP Server runs on a secure external sandbox, making it lightweight and compatible with Vercel Edge Functions. Your API routes won't hit cold start delays when calling `cora_create_invoice`.

Vinkius manages all authentication and sensitive headers on its secure sandboxed platform. You only need to supply your single Vinkius endpoint token in your Vercel environment variables to safely execute tools like `cora_send_pix`.

They can. Your frontend calls `cora_cancel_invoice` through the AI client, which immediately updates the status of the Boleto on Cora Bank's ledger. The user sees the cancellation confirmation stream in real-time.

Your sensitive Brazilian corporate banking data, including statements from `cora_get_statement`, never touches public LLM training sets. Vinkius processes all API payloads inside an ephemeral, zero-trust sandbox that destroys session data the moment the connection closes.

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