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How to Use the Nabis MCP in Vercel AI SDK

Stream real-time wholesale data directly into your Vercel AI SDK frontends. No loading spinners, just live Nabis inventory updates.

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Works with every AI agent you already use

…and any MCP-compatible client

Nabis MCP on Cursor AI Code Editor MCP Client Nabis MCP on Claude Desktop App MCP Integration Nabis MCP on OpenAI Agents SDK MCP Compatible Nabis MCP on Visual Studio Code MCP Extension Client Nabis MCP on GitHub Copilot AI Agent MCP Integration Nabis MCP on Google Gemini AI MCP Integration Nabis MCP on Lovable AI Development MCP Client Nabis MCP on Mistral AI Agents MCP Compatible Nabis MCP on Amazon AWS Bedrock MCP Support
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Vercel AI SDK

Connect Nabis MCP to Vercel AI SDK

Create your Vinkius account to connect Nabis 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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Live inventory streaming for Vercel AI SDK

Pipe live stock data straight into your UI components using `list_inventory`. Your users see the numbers change as your agent fetches them. This MCP Server removes the delay between tool execution and UI state updates. You get immediate visual feedback for every query.

Real-time order tracking in Vercel AI SDK

Feed specific order statuses into your React components by calling `get_order`. It maps raw API data to your existing state management without extra boilerplate. Your interface reflects the source of truth immediately. It handles the heavy lifting so you can focus on building the view layer.

Nabis retailer lookups in Vercel AI SDK

Populate customer dashboards by using `list_retailers` to pull account details. The data flows directly through your stream handlers. It treats Nabis records as first-class citizens in your edge functions. You define how the data looks; this server just gets it there.

Setup guide

Set up Nabis 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Nabis tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Nabis transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nabis. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Nabis MCP in Vercel AI SDK

You install the MCP package and point it at the Vinkius endpoint. Use the createMCPClient function to initialize the connection in your server-side code.
Yes. The tools expose their schemas to the streamText function. Your model picks the right tool, executes it, and the output appears in your UI.
Your credentials stay on the server. Vinkius handles the transport layer securely, so your sensitive wholesale data never touches the client's browser.
It is built for modern runtime environments. The lightweight footprint ensures your edge functions stay fast and responsive.
Data is ephemeral. It resides in the memory of your execution environment for the duration of the request and is discarded immediately after.

Start using the Nabis MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Nabis. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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