Can the AI forcefully complete, modify, or delete existing customer orders in my Saleor shop?

No. The integration focuses securely on read-only queries. It fetches critical information such as stock numbers, recent sales, and product characteristics without actively overwriting, resolving, or destroying records to protect e-commerce transactional integrity.

Does it require a specific Saleor Cloud paid plan to use this integration?

A specific plan is not heavily mandated by the tool itself as long as your environment successfully exposes the standard backend GraphQL endpoint and permits the creation of standard administrative App Tokens within your environment policies.

Why do some commands ask for a 'GraphQL ID' specifically?

Saleor’s core architecture uses unique Base64-encoded strings (like 'UHJvZHVjdDoxMjM=') as identifiers natively, rather than typical numeric database IDs. Always use the `list_orders` or `list_products` tools first to discover these exact encoded IDs natively, then seamlessly pass them to the exact fetching tools to pull their full snapshots.

Saleor MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Saleor
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Saleor as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="saleor_agent",
    instruction=(
        "You help users interact with Saleor "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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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 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.

Google ADK natively supports Saleor as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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_channels or retrieving global details via get_shop_info.

The Saleor MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Saleor MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Saleor via MCP

Why Use Google ADK with the Saleor MCP Server

Google ADK provides unique advantages when paired with Saleor through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Saleor

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Saleor tools with BigQuery, Vertex AI, and Cloud Functions

Saleor + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Saleor MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Saleor and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Saleor tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Saleor regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Saleor

Saleor MCP Tools for Google ADK (10)

These 10 tools become available when you connect Saleor to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Saleor to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Saleor + Google ADK FAQ

Common questions about integrating Saleor MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.