How to Use the Lamha MCP in Vercel AI SDK

Q: How do I close the Lamha connection in Vercel AI SDK?

Always call mcpClient.close() on your MCP client once your streaming session finishes. This prevents connection leaks in your Next.js serverless environments.

Q: Which Middle Eastern carriers are supported?

Use the listcarriers tool to get the active list. The server queries regional shipping providers directly to show you who can handle the route.

Get real-time Arabic e-commerce shipping and order data right into React frontends using the Vercel AI SDK.

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Connect Lamha MCP to Vercel AI SDK

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

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Stream live Arabic order updates with Vercel AI SDK

The `get_order` tool pulls real-time shipping statuses and feeds them directly to your Next.js frontend without lag. By combining this tool with Vercel AI SDK's streaming capabilities, your users see live updates on their orders as soon as the Middle Eastern carriers push the data. You don't need loading spinners or heavy polling setups here. This MCP Server integration maps Arabic queries directly to backend logistics, letting your agent fetch and display updates instantly.

Instantly check Saudi and regional city coverage

The `check_city_coverage` tool lets your agent immediately verify if a specific Middle Eastern city is serviced by regional carriers. When a user asks in Gulf Arabic if they can ship to Riyadh, the SDK resolves this query and updates the UI instantly. This setup skips the typical round-trip delays of traditional APIs. Your React components render the results from the MCP Server on the fly, keeping the user context perfectly intact.

Real-time inventory and warehouse lookups

The `list_inventory` and `list_warehouses` tools expose your stock levels and regional storage sites through the MCP protocol directly to your typescript frontend. Your agent queries these tools to show users exactly which items are ready to ship from local Gulf hubs. This means zero manual inventory checks for your support team. The Vercel AI SDK streams the live stock counts right into the chat window, preventing double-bookings.

Setup guide

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

You don't need manual parsing. Lamha handles the dialect NLU, and you just pass the resulting tools from `mcpClient.tools()` into `streamText` or `generateText` in your Vercel AI SDK setup.

Yes, absolutely. The SDK transport layer is lightweight, allowing you to run Lamha queries within Vercel Edge Functions without hitting timeout limits.

Always call `mcpClient.close()` on your MCP client once your streaming session finishes. This prevents connection leaks in your Next.js serverless environments.

Use the `list_carriers` tool to get the active list. The server queries regional shipping providers directly to show you who can handle the route.

Your e-commerce orders, inventory counts, and warehouse locations are processed inside an isolated V8 sandbox running this MCP Server. Vinkius ensures that no transit data is stored or logged outside your active session, keeping local Middle Eastern logistics details private.

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