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How to Use the Shoplazza / 店匠 MCP in Cursor

Inject live Shoplazza / 店匠 data directly into your code using Cursor’s MCP Server Agent mode.

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Works with every AI agent you already use

…and any MCP-compatible client

Shoplazza / 店匠 MCP on Cursor AI Code Editor MCP Client Shoplazza / 店匠 MCP on Claude Desktop App MCP Integration Shoplazza / 店匠 MCP on OpenAI Agents SDK MCP Compatible Shoplazza / 店匠 MCP on Visual Studio Code MCP Extension Client Shoplazza / 店匠 MCP on GitHub Copilot AI Agent MCP Integration Shoplazza / 店匠 MCP on Google Gemini AI MCP Integration Shoplazza / 店匠 MCP on Lovable AI Development MCP Client Shoplazza / 店匠 MCP on Mistral AI Agents MCP Compatible Shoplazza / 店匠 MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Cursor

Connect Shoplazza / 店匠 MCP to Cursor

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

GDPR Included with Plan

Key Capabilities

Fetch Product and Customer Context

The `get_product` tool lets you pull all necessary product details right into the function body. You can pair this with `get_customer` to ensure your code is always referencing accurate user data. When writing API wrappers, having live context means you don't have to use mock stubs; Cursor’s AI generates working calls using real Shoplazza / 店匠 responses.

Process Bulk Listings and Collections

Writing a script that needs to iterate through all items? Use `list_products` or `list_collections`. These tools provide the initial array of IDs you need for batch processing. This is huge when generating reports, because you get the live list data injected directly where your code needs it.

Validate Shop Configuration

Before deploying a feature, check the platform status. `get_shop_info` grabs core details about the store, while `list_webhooks` shows exactly what events are active. You can write code that validates these endpoints. This capability helps you quickly audit dependencies and confirms the overall health of your Shoplazza / 店匠 integration.

Setup guide

Set up Shoplazza / 店匠 MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Shoplazza / 店匠 MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Shoplazza / 店匠 transactions." If the MCP tools are loaded correctly, Cursor will call the Shoplazza / 店匠 tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "shoplazza-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Cursor

You enable Agent mode in Cursor. The AI then detects the need for external data and automatically calls the appropriate MCP tool, injecting the real JSON response directly into your code snippet.
Just prompt the AI. It will use the `get_customer` tool and feed you that live data right into your active file, letting you write code that uses real user IDs.
Yes. You use the `get_inventory_levels` tool. This allows you to write functions that dynamically calculate stock risk based on live data, right in your editor.
Start with `list_products` to get the full set of IDs. Then, loop through those results and call `get_product` for each ID to pull all descriptive data.
The connection uses Vinkius's secure environment and requires explicit scope definition via your project configuration file, keeping access controlled and traceable.

Start using the Shoplazza / 店匠 MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Shoplazza / 店匠. Just plug in your AI agents and start using Vinkius.

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