How to Use the Shoplazza / 店匠 MCP in Mastra AI

Q: How do I build an order processing flow with Shoplazza / 店匠 and mastra-ai?

Use the getorder tool within your workflow. If the initial read fails, Mastra AI will automatically retry the call until it succeeds or hits a hard failure limit.

Q: Can I automate inventory checks with Shoplazza / 店匠 using mastra-ai?

Yes. You can build a recurring workflow that uses getinventorylevels to monitor stock. If levels drop, the system automatically triggers an alert or another action.

Q: Does mastra-ai support fetching shop details for Shoplazza / 店匠?

Sure. The getshopinfo tool lets you pull specific details about a merchant's storefront, which can be critical context for your workflow decisions.

Build reliable, failure-proof backends with mastra-ai. Automate Shoplazza / 店匠 workflows that never quit.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Shoplazza / 店匠 MCP to Mastra AI

Create your Vinkius account to connect Shoplazza / 店匠 to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Shoplazza / 店匠 with Mastra AI

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Automated Order Fulfillment Workflows

You can set up a workflow using `get_order` and `list_orders`. The agent runs the order check, then if successful, it triggers the next step in your multi-stage process. Mastra AI handles retries automatically. If one API call fails—say, due to network hiccups when fetching an old order record—the workflow waits and tries again with exponential backoff.

Inventory Status Checks and Pricing Logic

To check stock for high-value goods, the agent runs `get_inventory_levels`. If the count drops below a threshold (say, 10 units), the workflow automatically flags it. This lets you build complex logic: Check inventory with `get_inventory_levels`, and if low, then use `get_product` to update internal pricing or send an alert.

Customer Eligibility Verification

Want to check if a customer can place a premium order? Start by calling `list_customers`. Then, you run `get_customer` on the specific ID. The workflow processes this data against your internal rules. This is useful for complex pre-purchase logic—like verifying account status or regional eligibility before allowing checkout.

Setup guide

Set up Shoplazza / 店匠 MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Shoplazza / 店匠 tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "shoplazza-mcp-client",
  servers: {
    "shoplazza-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Shoplazza / 店匠 Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Shoplazza / 店匠 tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Shoplazza / 店匠 transactions"
);
console.log(result.text);

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

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Common questions about Shoplazza / 店匠 MCP in Mastra AI

Use the `get_order` tool within your workflow. If the initial read fails, Mastra AI will automatically retry the call until it succeeds or hits a hard failure limit.

This server handles order details, product specifics, and customer records. Since Mastra AI is designed for reliability, it manages these inputs through complex, multi-step processes.

Yes. You can build a recurring workflow that uses `get_inventory_levels` to monitor stock. If levels drop, the system automatically triggers an alert or another action.

Sure. The `get_shop_info` tool lets you pull specific details about a merchant's storefront, which can be critical context for your workflow decisions.

The server touches core transactional and product data: order history, inventory counts, and shop metadata. These are the inputs used for your automated workflows.

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