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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Shoplazza / 店匠
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Shoplazza / 店匠 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Shoplazza / 店匠 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Shoplazza / 店匠?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

Pydantic AI validates every Shoplazza / 店匠 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

Follow these steps to integrate the Shoplazza / 店匠 MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Shoplazza / 店匠 with type-safe schemas

Why Use Pydantic AI with the Shoplazza / 店匠 MCP Server

Pydantic AI provides unique advantages when paired with Shoplazza / 店匠 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Shoplazza / 店匠 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Shoplazza / 店匠 connection logic from agent behavior for testable, maintainable code

Shoplazza / 店匠 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Shoplazza / 店匠 MCP Server delivers measurable value.

Type-safe data pipelines: query Shoplazza / 店匠 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Shoplazza / 店匠 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Shoplazza / 店匠 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Shoplazza / 店匠 responses and write comprehensive agent tests

Shoplazza / 店匠 MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Shoplazza / 店匠 to Pydantic 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic 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 Pydantic AI

Common issues when connecting Shoplazza / 店匠 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Shoplazza / 店匠 + Pydantic AI FAQ

Common questions about integrating Shoplazza / 店匠 MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Shoplazza / 店匠 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.