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PrestaShop MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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 PrestaShop. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
PrestaShop
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About PrestaShop MCP Server

Empower your AI agents to directly manage and analyze your PrestaShop eCommerce operations. Using the official Webservice API, your LLMs can scan live orders, inspect nested product XMLs, and monitor available stock without touching the back-office dashboard.

LlamaIndex agents combine PrestaShop tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Logistics — Instruct the AI to fetch list_orders or dig into a specific cart dropping absolute constraints via get_order to understand what was purchased
  • Product Catalog — Pull arrays containing precise SKU data, category mappings, and pricing logic (list_products, get_product)
  • Stock Management — Find out exactly how many units are permitted for checkout operations by retrieving native stock arrays (list_stock)
  • CRM & Addresses — Query your database identifying customer histories (list_customers) correlated with absolute dispatch matrices (list_addresses)

The PrestaShop 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 PrestaShop to LlamaIndex via MCP

Follow these steps to integrate the PrestaShop MCP Server with LlamaIndex.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from PrestaShop

Why Use LlamaIndex with the PrestaShop MCP Server

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

01

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

02

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

03

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

04

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

PrestaShop + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

PrestaShop MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect PrestaShop to LlamaIndex via MCP:

01

get_order

Maps raw Webservice XML nodes into consumable arrays. Get PrestaShop nested order by explicit ID, tracing line items, billing/shipping boundaries, and payment success paths

02

get_product

Get an individual PrestaShop product by ID, returning full pricing, descriptions, and category associations

03

get_stock

Get PrestaShop specific stock quantity node explicitly by constrained resource ID

04

list_addresses

Limits response arrays via bounds (e.g., `0,20`). Used to analyze spatial destination data linked implicitly to customers and orders. List physical PrestaShop customer/order addresses mapping delivery logistics lines

05

list_categories

List all PrestaShop root and child categories dictating store navigation geometry

06

list_currencies

List all active currencies configured and accepted implicitly within the target store interface

07

list_customers

Limits response arrays via bounds (e.g., `0,20`). Maps basic CRM points for subsequent order correlations. List PrestaShop customers tracking emails, first and last names, and account creation dates

08

list_orders

Limits response arrays via bounds (e.g., `0,20`). Critical for scanning recent sales history mapped directly against specific customer IDs. List PrestaShop active orders retrieving order references, current fulfillment statuses, and totals

09

list_products

Use the `limit` parameter string to bound results (e.g., `0,20`). Native XML responses are parsed and converted to structured arrays. List PrestaShop products with full details, retrieving items from the open-source eCommerce catalog

10

list_stock

Resolves specific stock trace items which dictate the physical inventory logic overriding standard product rules. List PrestaShop available stock quantities mapping exact units over specific complex item structures

Example Prompts for PrestaShop in LlamaIndex

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

01

"List the last 5 orders placed on the store. Are there any pending ones?"

02

"Get the product details linked to ID 42. Tell me its exact category bindings."

03

"Check our current stock level constraints available at Stock ID '15'."

Troubleshooting PrestaShop MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

PrestaShop + LlamaIndex FAQ

Common questions about integrating PrestaShop MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query PrestaShop tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect PrestaShop to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.