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 Pydantic AI 9 tools — connect in under 2 minutes

Name: Commerce Layer
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Commerce Layer through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Commerce Layer "
            "(9 tools)."
        ),
    )

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

asyncio.run(main())

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 Commerce Layer MCP Server

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

Pydantic AI validates every Commerce Layer tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Commerce Layer MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Commerce Layer integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Commerce Layer connection logic from agent behavior for testable, maintainable code

Commerce Layer + Pydantic AI Use Cases

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

Type-safe data pipelines: query Commerce Layer with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Commerce Layer tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Commerce Layer and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Commerce Layer responses and write comprehensive agent tests

Commerce Layer MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Commerce Layer to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Commerce Layer + Pydantic AI FAQ

Common questions about integrating Commerce Layer MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Commerce Layer MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.