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How to Use the Wix eCommerce MCP in Pydantic AI

Build reliable Wix eCommerce pipelines with type-safe validation using Pydantic AI.

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Pydantic AI

Connect Wix eCommerce MCP to Pydantic AI

Create your Vinkius account to connect Wix eCommerce to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Order Fulfillment and Tracking

The `create_order_fulfillment` tool ensures data integrity when recording a new fulfillment record. It strictly requires the order ID and tracking number, making sure nothing is missed. You can also check all records using `list_order_fulfillments`. This validates that your agent has access to every historical shipping detail for an order.

Product Catalog and Collections

To understand the whole store, run `list_product_collections` to list all major product categories. Your agent knows exactly how the Wix eCommerce site is structured. Get full item specs using `get_product_details`. The Pydantic framework ensures that the returned data structure for any specific product is predictable and correct.

Inventory Management Workflow

Start by checking current stock levels with `query_stock_inventory`, passing a comma-separated list of product IDs. The agent gets reliable, structured inventory counts. If you need to change the count, use `update_stock_quantity`. This requires the item ID and the new total quantity—the types are validated before execution.

Setup guide

Set up Wix eCommerce MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "wix-ecommerce-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Wix eCommerce tools.",
)

result = await agent.run("List recent Wix eCommerce transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wix eCommerce. 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 Wix eCommerce MCP in Pydantic AI

Use `list_store_orders` to pull a list of the most recent sales. Because this is type-safe, you know exactly what fields are available for order IDs or customer names when your agent processes them.
Yes. `get_product_details` retrieves full product data, and the core benefit here is that every field—from name to description—is validated against a strict model before your agent uses it.
You use `query_stock_inventory` with a comma-separated list of product IDs. When updating inventory via `update_stock_quantity`, you must provide the item ID and the new total quantity, which are strictly validated.
Yes. The `query_products` tool lists product IDs, names, and prices. Since it's type-safe, your agent treats these results as guaranteed structured data.
The server handles the Order ID. The benefit of using Pydantic is that if any API response deviates from expected types, your agent fails loudly, preventing silent corruption of sensitive order data.

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