How to Use the MerchantSpring MCP in Vercel AI SDK

Stream real-time e-commerce metrics directly into your Vercel AI SDK interface without the wait.

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Connect MerchantSpring MCP to Vercel AI SDK

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

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Claude

Perplexity

Live inventory and sales tracking

Feed live supply chain data into your UI components using `get_inventory_report` and `get_sales_summary`. Your app updates the frontend state as the data arrives, skipping the clunky loading spinners. This MCP Server pushes raw store figures directly to your AI client. You avoid middleware bottlenecks and keep your React or Next.js dashboard perfectly synced with marketplace reality.

Full store visibility for AI agents

Expose your entire store network to your agents with `list_stores` and `list_marketplaces`. You gain a unified view of your operations without jumping between different seller portals. Your code handles the aggregation, letting the agent cross-reference data points on the fly. It turns your Vercel AI SDK project into a command center that actually understands your multi-channel sales footprint.

Automated order and product management

Fetch order details and product catalogs using `list_store_orders` and `list_store_products`. You can build interfaces that allow users to drill down into specific transaction histories instantly. These tools provide the granular data necessary for building custom inventory management apps. By piping these results into your stream, you provide end users with immediate answers to their specific operational questions.

Setup guide

Set up MerchantSpring 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 MerchantSpring 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 MerchantSpring 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 MerchantSpring. 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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Single dashboard

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place for every integration

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Common questions about MerchantSpring MCP in Vercel AI SDK

You initialize the connection using the standard MCP client pattern. Just point your client at the Vinkius endpoint and pass the tools into your generateText function.

Yes, because the server streams tool results. Your UI listens for these events and updates the display as the agent completes its work.

Absolutely. Since it connects via HTTP, the latency is minimal. It's designed to keep your stream moving without hanging the request.

It does. You can query every connected store using the list tools and then filter by ID. It brings all your marketplace data into one stream.

It touches order records, product listings, and inventory counts. We follow strict security protocols and never expose your raw account credentials to the client.

Use it with your favorite AI tools

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