Saleor MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Saleor through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Saleor "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Saleor?"
)
print(result.data)
asyncio.run(main())
* 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 Saleor MCP Server
Empower your conversational AI with deep access to Saleor, the highly scalable, headless GraphQL-first e-commerce engine designed around high performance experiences. Connect your environment to actively manage your daily retail store operations, inspect products, or troubleshoot customer inquiries natively from chat.
Pydantic AI validates every Saleor tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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
- Inventory & Catalogs — Quickly inspect your store's entire directory (
list_products). Retrieve detailed specifics such as available variants, pricing, and precise stock configurations per individual product ID (get_product). - Category Orchestration — Browse how your catalog is organized internally by fetching collections (
list_collections) and sub-categories (list_categories) without toggling through web dashboards. - Order Fulfillment Auditing — Easily review a list of the latest purchases happening on your platform (
list_orders) and quickly grab comprehensive snapshots of individual receipts, line items, or billing addresses (get_order). - Customer Assistance — Query your database to find registered profiles globally (
list_customers) or drill down into specific shopper's order details and status natively (get_customer). - Architecture Inspection — Inspect high-level configuration such as default currencies and active regions by utilizing
list_channelsor retrieving global details viaget_shop_info.
The Saleor MCP Server exposes 10 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 Saleor to Pydantic AI via MCP
Follow these steps to integrate the Saleor 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 10 tools from Saleor with type-safe schemas
Why Use Pydantic AI with the Saleor MCP Server
Pydantic AI provides unique advantages when paired with Saleor 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 Saleor integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Saleor connection logic from agent behavior for testable, maintainable code
Saleor + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Saleor MCP Server delivers measurable value.
Type-safe data pipelines: query Saleor with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Saleor tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Saleor and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Saleor responses and write comprehensive agent tests
Saleor MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Saleor to Pydantic AI via MCP:
get_customer
Retrieves profile information and order history for a specific customer
get_order
Retrieves details for a specific order
get_product
Retrieves details for a specific product by ID
get_shop_info
Retrieves global shop configuration
list_categories
Lists all product categories
list_channels
Lists all configured sales channels
list_collections
Lists all product collections
list_customers
Lists all customers/users registered in the shop
list_orders
Lists recent customer orders
list_products
Lists all products in the Saleor store
Example Prompts for Saleor in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Saleor immediately.
"List all products in my store."
"Find out order specifics and shipping details for order number '334'."
"What currencies does the store utilize in the available sales channels?"
Troubleshooting Saleor MCP Server with Pydantic AI
Common issues when connecting Saleor to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSaleor + Pydantic AI FAQ
Common questions about integrating Saleor MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Saleor with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Saleor to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.