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 CrewAI 10 tools — connect in under 2 minutes

Name: Shoplazza / 店匠
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Shoplazza / 店匠 through Vinkius, pass the Edge URL in the `mcps` parameter and every Shoplazza / 店匠 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Shoplazza / 店匠 Specialist",
    goal="Help users interact with Shoplazza / 店匠 effectively",
    backstory=(
        "You are an expert at leveraging Shoplazza / 店匠 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Shoplazza / 店匠 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, Shoplazza / 店匠 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Shoplazza / 店匠 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Shoplazza / 店匠

Why Use CrewAI with the Shoplazza / 店匠 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Shoplazza / 店匠 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Shoplazza / 店匠 + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Shoplazza / 店匠 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Shoplazza / 店匠, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Shoplazza / 店匠 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Shoplazza / 店匠 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Shoplazza / 店匠 MCP Tools for CrewAI (10)

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

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Shoplazza / 店匠 + CrewAI FAQ

Common questions about integrating Shoplazza / 店匠 MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.