How do I find my organization subdomain?

Your subdomain is the first part of your Commerce Layer URL. For example, in 'my-store.commercelayer.io', the subdomain is 'my-store'.

What credentials do I need?

You need an Integration Client ID and Client Secret. Generate them in the Commerce Layer dashboard under **Settings > Applications**.

Why are prices shown in cents?

Commerce Layer stores all amounts as integers (cents) for precision. The integration formats them automatically for display.

Commerce Layer MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Commerce Layer
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Commerce Layer as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Commerce Layer. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Commerce Layer?"
    )
    print(response)

asyncio.run(main())

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About Commerce Layer MCP Server

Connect your AI assistant to Commerce Layer, the headless commerce API and order management system built for multi-market operations.

LlamaIndex agents combine Commerce Layer tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Order Management — List recent orders, filter by status, and inspect individual order details including line items and payment info.
SKU Lookup — Search for products by SKU code and retrieve pricing, inventory levels, and metadata.
Customer Data — Find customers by email, list their order history, and check associated addresses.

The Commerce Layer MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex 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 Commerce Layer to LlamaIndex via MCP

Follow these steps to integrate the Commerce Layer MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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 9 tools from Commerce Layer

Why Use LlamaIndex with the Commerce Layer MCP Server

LlamaIndex provides unique advantages when paired with Commerce Layer through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Commerce Layer tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Commerce Layer tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Commerce Layer, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Commerce Layer tools were called, what data was returned, and how it influenced the final answer

Commerce Layer + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Commerce Layer MCP Server delivers measurable value.

Hybrid search: combine Commerce Layer real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Commerce Layer to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Commerce Layer for fresh data

Analytical workflows: chain Commerce Layer queries with LlamaIndex's data connectors to build multi-source analytical reports

Commerce Layer MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Commerce Layer to LlamaIndex via MCP:

get_order

Retrieve details of a specific order

get_order_stats

Calculate basic stats for a set of orders

get_sku

Retrieve details of a specific SKU

list_customers

Retrieve a list of customers

list_orders

Retrieve a list of orders from Commerce Layer

list_prices

Retrieve a list of product prices

list_shipments

Retrieve a list of shipments

list_skus

Retrieve a list of SKUs (products)

search_orders_by_email

Find orders belonging to a specific customer email

Example Prompts for Commerce Layer in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Commerce Layer immediately.

"Show me the last 10 orders in Commerce Layer."

"Find the SKU 'TSHIRT-BLUE-L' and show its details."

"Find the customer with email 'jane.doe@example.com'."

Troubleshooting Commerce Layer MCP Server with LlamaIndex

Common issues when connecting Commerce Layer to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Commerce Layer + LlamaIndex FAQ

Common questions about integrating Commerce Layer MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Commerce Layer tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.