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How to Use the Wix eCommerce MCP in LlamaIndex

Ground e-commerce intelligence using LlamaIndex's MCP tools.

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LlamaIndex

Connect Wix eCommerce MCP to LlamaIndex

Create your Vinkius account to connect Wix eCommerce to LlamaIndex 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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Indexing Wix eCommerce Fulfillment Data with LlamaIndex

LlamaIndex lets you index fulfillment records for deep knowledge retrieval. First, call `list_order_fulfillments` to gather all shipment history for an order ID. This structured output is then indexed into your vector store. Later, when a user asks about why an order was delayed, the agent doesn't guess—it queries the index and pulls the exact fulfillment record data, answering with actual API information.

Building Product Knowledge Bases for LlamaIndex MCP Server

Need a searchable database of product specs? Run `query_products` to get IDs, names, and prices. Index this structured output alongside full descriptions retrieved from `get_product_details`. This combined index means your agent can answer complex questions like, 'What is the price range for all red widgets?' without needing a specific query function.

Retrieving Order History with LlamaIndex

You want to analyze multiple recent sales? Use `list_store_orders` to pull raw order data. Indexing this list allows the agent to answer questions across time, such as, 'What was our average order value last month?' The knowledge base treats all past orders as searchable facts, making complex trend analysis possible without writing custom aggregation code.

Setup guide

Set up Wix eCommerce MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Wix eCommerce MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Wix eCommerce tools.",
)
response = await agent.run("List recent Wix eCommerce data")

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 LlamaIndex

You can index the results from `query_stock_inventory`. This means that even if your agent doesn't run the tool right now, it remembers and grounds answers about specific product IDs and their last known stock levels.
The server provides order details, full product specifications, abandoned cart lists, and inventory counts. All these discrete outputs become searchable documents in the unified knowledge index.
Absolutely. Run `list_abandoned_carts` and then feed those results into your index. You can later query the system to understand common product categories or price points associated with lost sales.
Yes, you run tools like `update_stock_quantity` and then immediately re-index the resulting inventory count. This ensures your knowledge base always reflects the most current stock levels.
Use `list_order_fulfillments`. The resulting list of records (including tracking numbers) is a key data type that you can index for later semantic searches by your agent.

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