How to Use the eBay Shopper MCP in Vercel AI SDK

Q: Can I use eBay Shopper with AI SDK to find parts?

Yes, you can. Use the getitemcompatibility tool to verify if a part fits a specific vehicle before showing it to the user. This prevents ordering mistakes inside your AI SDK application.

Q: Does eBay Shopper work with AI SDK for inventory?

It does. You can query getmerchantitemdetails to pull specific inventory data. This gives your AI SDK agent the raw info needed to manage stock levels or research listings.

Q: How do I filter categories using eBay Shopper and AI SDK?

Call getcategories to see the full structure. You can then pass those IDs into searchbycategory to narrow down the noise for your AI SDK users.

Q: Can I trust ratings from eBay Shopper in AI SDK?

You get raw data via getitemrating and getitemreviews. We recommend adding a sentiment analysis step in your AI SDK logic to parse the review text before showing it to the user.

Stream real-time eBay search results and merchant data directly into your React or Next.js UI using the AI SDK and this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect eBay Shopper MCP to Vercel AI SDK

Create your Vinkius account to connect eBay Shopper 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.

GDPR Free for Subscribers

Setup eBay Shopper with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Instant product search for AI SDK

Feed keyword data straight from `search_items` into your streaming interface. Your users see live product listings appear as the agent processes the query. Stop waiting for full page loads. By piping the `search_items` output into your frontend, you get immediate inventory visibility without the usual overhead.

Automated price and shipping checks

Get accurate shipping costs with `get_shipping_estimate` before any user confirms a purchase. The AI SDK handles the data flow so your UI updates the total cost dynamically. Use `get_item_details` to pull specs and display them in clean, component-based views. It makes your shopping tool feel like a native part of your application.

Visual discovery for your users

Let your users upload images to find similar items via `search_by_image`. The AI SDK streams these visual matches back to the browser in seconds. This functionality turns a standard search box into a powerful visual tool. Your frontend displays these results as cards, keeping the user journey focused and fast.

Setup guide

Set up eBay Shopper 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 eBay Shopper 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 eBay Shopper 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 eBay Shopper. 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.

Connect eBay Shopper now

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 eBay Shopper MCP in Vercel AI SDK

Yes, you can. Use the `get_item_compatibility` tool to verify if a part fits a specific vehicle before showing it to the user. This prevents ordering mistakes inside your AI SDK application.

It does. You can query `get_merchant_item_details` to pull specific inventory data. This gives your AI SDK agent the raw info needed to manage stock levels or research listings.

The server uses a single endpoint token for all requests. Your AI SDK client handles the connection, and no PII is stored locally by the server. Only the specific item metadata you request flows through the connection.

Call `get_categories` to see the full structure. You can then pass those IDs into `search_by_category` to narrow down the noise for your AI SDK users.

You get raw data via `get_item_rating` and `get_item_reviews`. We recommend adding a sentiment analysis step in your AI SDK logic to parse the review text before showing it to the user.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript