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How to Use the Amplifier MCP in Vercel AI SDK

Render live e-commerce inventory and shipment data directly into your Next.js frontend with Vercel AI SDK and the Amplifier MCP Server.

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Vercel AI SDK

Connect Amplifier MCP to Vercel AI SDK

Create your Vinkius account to connect Amplifier 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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Stream live inventory updates in Vercel AI SDK

The `get_inventory_report` tool pulls real-time stock levels from your warehouse directly into your Vercel AI SDK chat interface. Users watch inventory counts populate on their screens while the model processes the query. You don't make your customers wait for a full API response cycle before showing stock inside your Next.js application. This MCP integration streams warehouse data block-by-block so your React components render the catalog instantly.

Instant order creation without page reloads

The `create_order` tool submits new customer purchases directly from a streaming Vercel AI SDK text field. Your UI displays the exact checkout status step-by-step as the backend processes the sale. This setup bypasses traditional multi-step checkout forms by letting your frontend component render the order receipt the millisecond the API confirms the transaction. Customers never stare at a blank loading screen while the database updates.

Real-time shipping tracking components

The `get_shipment_report` tool fetches active tracking details and feeds them straight into your Vercel AI SDK edge route. Your frontend renders live transit maps or progress bars as soon as the carrier database updates. Edge runtime execution keeps these shipment lookups extremely fast, preventing UI lag when customers ask your chatbot where their packages are.

Setup guide

Set up Amplifier 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 Amplifier 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 Amplifier 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 Amplifier. 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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Real-time monitoring

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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

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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 Amplifier MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and instantiate the client with your Vinkius HTTP endpoint URL. Pass the tools directly into `streamText` to let your React components render real-time fulfillment data.
Yes, the server connects via lightweight HTTP transport which works perfectly inside Vercel's edge runtime. You get instant catalog lookups using `list_items` without cold start delays.
The SDK handles tool calls sequentially, letting the model check stock with `get_item_details` before invoking `create_order`. Your UI displays each step to the customer as it happens.
Your code catches the error from `get_shipment_report` inside the SDK's tool execution callback. You can display a custom fallback UI component to the user instead of a generic error message.
Vinkius runs the MCP server in an isolated sandbox, keeping your order databases and shipment logs completely partitioned. No customer addresses or catalog metrics are stored on our servers after the execution finishes.

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