How to Use the Bleez MCP in Vercel AI SDK

Q: How does Bleez handle large file uploads in Vercel AI SDK?

The uploaddocument tool accepts digital files directly from your frontend. The SDK handles the multi-part stream efficiently, ensuring your edge functions don't time out during heavy uploads.

Feed live Brazilian accounting data and invoice updates directly into your Next.js frontend with Vercel AI SDK and this MCP Server.

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Connect Bleez MCP to Vercel AI SDK

Create your Vinkius account to connect Bleez 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 Bleez with Vercel AI SDK

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Stream live invoices straight to your React UI

The `create_invoice` tool lets your digital storefront issue invoices instantly through this MCP Server. Instead of making users stare at a blank loading state while the backend processes, Vercel AI SDK streams the generated invoice details directly onto the screen as they happen. Your users get instant confirmation of their Brazilian tax documents. Behind the scenes, the `list_invoices` tool lets your frontend display a live-updating history of past transactions without lag.

Real-time customer and supplier lookups

The `list_customers` tool pulls your Brazilian buyer directory into your application state. This integration means your edge-rendered dashboard can instantly match incoming orders with existing profiles, keeping your local logistics moving fast. You can also run `list_suppliers` to cross-reference vendors on the fly. Because this runs on edge functions, your interface stays snappy even during peak traffic spikes.

Direct document processing via MCP Server

The `upload_document` tool sends digital files straight to your document-management system for processing. Your users drag a receipt into the browser, and Vercel AI SDK handles the upload stream without burning serverless execution limits. Once processed, the `create_accounting_entry` tool records the transaction details. This keeps your books accurate without manual data entry.

Setup guide

Set up Bleez 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 Bleez 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 Bleez 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 Bleez. 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

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Common questions about Bleez MCP in Vercel AI SDK

Install @ai-sdk/mcp and ai via npm. Initialize the client using createMCPClient with your Vinkius HTTP transport URL, then pass the tools array directly into streamText.

Yes. The underlying transport uses standard fetch requests, meaning you can trigger tools like create_accounting_entry or list_invoices directly from edge middleware or serverless routes.

Yes, you configure the connection using Vinkius's single endpoint token. Pass this token in your header configuration during the client initialization step to keep your financial data protected.

The upload_document tool accepts digital files directly from your frontend. The SDK handles the multi-part stream efficiently, ensuring your edge functions don't time out during heavy uploads.

All accounting entries, customer lists, and invoice amounts are processed inside sandboxed V8 isolates. Vinkius secures these transactions using ephemeral connections, ensuring your sensitive Brazilian tax data is never stored or cached on intermediate servers.

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