Saleor MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Saleor as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Saleor. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Saleor?"
)
print(response)
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.
LlamaIndex agents combine Saleor tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- 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 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 Saleor to LlamaIndex via MCP
Follow these steps to integrate the Saleor 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 10 tools from Saleor
Why Use LlamaIndex with the Saleor MCP Server
LlamaIndex provides unique advantages when paired with Saleor through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Saleor tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Saleor tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Saleor, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Saleor tools were called, what data was returned, and how it influenced the final answer
Saleor + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Saleor MCP Server delivers measurable value.
Hybrid search: combine Saleor real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Saleor 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 Saleor for fresh data
Analytical workflows: chain Saleor queries with LlamaIndex's data connectors to build multi-source analytical reports
Saleor MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Saleor to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Saleor to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSaleor + LlamaIndex FAQ
Common questions about integrating Saleor MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.