Shoplazza / 店匠 MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Shoplazza / 店匠 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Shoplazza / 店匠, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Shoplazza / 店匠 MCP Server
Empower your AI agent to orchestrate your global retail business with Shoplazza (店匠), the premier E-commerce platform for international brands. By connecting Shoplazza to your agent, you transform complex store management and order tracking into a natural conversation. Your agent can instantly list your products, retrieve detailed order information, monitor inventory levels, and even browse store collections without you ever needing to navigate the Shoplazza Admin interface. Whether you are managing a single boutique or a large-scale international operation, your agent acts as a real-time retail assistant, keeping your data accurate and your global sales moving.
The Vercel AI SDK gives every Shoplazza / 店匠 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Product Orchestration — List all items in your store, get detailed product metadata, and browse collections.
- Order Management — List and retrieve detailed order information to track fulfillment, payments, and delivery.
- Inventory Monitoring — Retrieve real-time inventory levels for your products to ensure stock availability.
- Customer Insights — Search and manage customer profiles and their purchase history.
- Store Configuration — Access general shop information and monitor configured webhooks.
The Shoplazza / 店匠 MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Shoplazza / 店匠 to Vercel AI SDK via MCP
Follow these steps to integrate the Shoplazza / 店匠 MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Shoplazza / 店匠 and passes them to the LLM
Why Use Vercel AI SDK with the Shoplazza / 店匠 MCP Server
Vercel AI SDK provides unique advantages when paired with Shoplazza / 店匠 through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Shoplazza / 店匠 integration everywhere
Built-in streaming UI primitives let you display Shoplazza / 店匠 tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Shoplazza / 店匠 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Shoplazza / 店匠 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Shoplazza / 店匠 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Shoplazza / 店匠 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Shoplazza / 店匠 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Shoplazza / 店匠 through natural language queries
Shoplazza / 店匠 MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Shoplazza / 店匠 to Vercel AI SDK via MCP:
get_customer
Get customer details
get_inventory_levels
Get inventory levels
get_order
Get order details
get_product
Get product details
get_shop_info
Get shop information
list_collections
List product collections
list_customers
List shop customers
list_orders
List shop orders
list_products
List shop products
list_webhooks
List store webhooks
Example Prompts for Shoplazza / 店匠 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Shoplazza / 店匠 immediately.
"List all products in my Shoplazza store."
"Show me the last 5 orders from my Shoplazza shop."
"Check the inventory level for item ID 'inv-123456'."
Troubleshooting Shoplazza / 店匠 MCP Server with Vercel AI SDK
Common issues when connecting Shoplazza / 店匠 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpShoplazza / 店匠 + Vercel AI SDK FAQ
Common questions about integrating Shoplazza / 店匠 MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Shoplazza / 店匠 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Shoplazza / 店匠 to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.