How do I find my Shoplazza Access Token?

Log in to the [Shoplazza Partner Platform](https://partners.shoplazza.com/), create an application, and follow the OAuth 2.0 flow to obtain your Admin API Access Token.

What is the 'shop_domain' format?

Your shop domain should be the full URL of your Shoplazza admin instance, typically in the format: `your-store.myshoplazza.com`.

Can I check inventory for specific items?

Yes. Use the `get_inventory_levels` tool. You can optionally provide a comma-separated list of `inventory_item_ids` to retrieve the stock levels for those specific items.

Shoplazza / 店匠 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Shoplazza / 店匠
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Shoplazza / 店匠 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Shoplazza / 店匠 Assistant",
            instructions=(
                "You help users interact with Shoplazza / 店匠. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Shoplazza / 店匠"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenAI Agents SDK auto-discovers all 10 tools from Shoplazza / 店匠 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Shoplazza / 店匠, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Shoplazza / 店匠 MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Shoplazza / 店匠

Why Use OpenAI Agents SDK with the Shoplazza / 店匠 MCP Server

OpenAI Agents SDK provides unique advantages when paired with Shoplazza / 店匠 through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Shoplazza / 店匠 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Shoplazza / 店匠 MCP Server delivers measurable value.

Automated workflows: build agents that query Shoplazza / 店匠, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Shoplazza / 店匠, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Shoplazza / 店匠 tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Shoplazza / 店匠 to resolve tickets, look up records, and update statuses without human intervention

Shoplazza / 店匠 MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Shoplazza / 店匠 to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Shoplazza / 店匠 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Shoplazza / 店匠 + OpenAI Agents SDK FAQ

Common questions about integrating Shoplazza / 店匠 MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.