How to Use the Daftra MCP in Vercel AI SDK

Q: How do I pass custom tax settings from Daftra to a Vercel AI SDK stream?

You pass the tax parameters directly through the createinvoice arguments. The server validates the regional tax rules and streams the updated total straight to your UI.

Pipe live Middle East business data directly into your React frontend using Daftra with the Vercel AI SDK.

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Connect Daftra MCP to Vercel AI SDK

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

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Live-updating Middle East invoices via the Vercel AI SDK

The `create_invoice` tool lets your React frontend build and issue localized invoices on Daftra without forcing users to wait for a full page reload. Your Vercel AI SDK client calls this tool and immediately streams the draft back to the UI. You avoid the typical loading spinners that kill user retention. Instead, customers watch the line items and tax calculations populate in real-time as the background edge function communicates with the MENA-focused ERP.

Real-time Arabic client directories for your web app

The `list_clients` tool retrieves your entire regional customer base through this custom MCP Server. Your edge-rendered frontend displays the matching contacts as soon as the user types a query. By avoiding heavy database queries on your main server, you keep the interface fast. The Vercel AI SDK handles the streaming connection so your team sees updated CRM records without manual refreshes.

Instant inventory checks with Vercel AI SDK components

The `list_products` tool pulls your current stock levels and pricing directly from your Daftra warehouse. When a customer asks about availability, your agent queries the catalog and renders the exact product card instantly. This setup bypasses slow API polling by feeding the live stock details straight into your UI components. Your customers get immediate answers about regional stock availability before they hit the checkout button.

Setup guide

Set up Daftra 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 Daftra 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 Daftra 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 Daftra. 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 Daftra MCP in Vercel AI SDK

The MCP Server handles all UTF-8 encoding out of the box. Your SDK client receives clean Arabic strings ready to render in your Next.js components without manual font adjustments.

Yes, the server endpoint is fully compatible with edge runtimes. You just import the lightweight MCP client package and call `list_products` or `get_invoice` without hitting cold starts.

You pass the tax parameters directly through the `create_invoice` arguments. The server validates the regional tax rules and streams the updated total straight to your UI.

Always call the close method on your client object once the stream finishes. Failing to do this leaves active HTTP connections hanging on your serverless instances.

Every request runs through a secure V8 isolate sandbox on Vinkius. Your sensitive client details and financial transactions never touch public logs, ensuring strict compliance with local MENA data laws.

Use it with your favorite AI tools

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