Shoplazza / 店匠 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Shoplazza / 店匠 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"shoplazza": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Shoplazza / 店匠 Agent",
instructions:
"You help users interact with Shoplazza / 店匠 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Shoplazza / 店匠?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Shoplazza / 店匠 tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Shoplazza / 店匠 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Shoplazza / 店匠 via MCP
Why Use Mastra AI with the Shoplazza / 店匠 MCP Server
Mastra AI provides unique advantages when paired with Shoplazza / 店匠 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Shoplazza / 店匠 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Shoplazza / 店匠 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Shoplazza / 店匠 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Shoplazza / 店匠 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Shoplazza / 店匠, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Shoplazza / 店匠 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Shoplazza / 店匠 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Shoplazza / 店匠 tools alongside other MCP servers
Shoplazza / 店匠 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Shoplazza / 店匠 to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Shoplazza / 店匠 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpShoplazza / 店匠 + Mastra AI FAQ
Common questions about integrating Shoplazza / 店匠 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.