How to Use the PrestaShop MCP in CrewAI

Q: How do I configure CrewAI to use the PrestaShop MCP Server?

Run pip install crewai "crewaitools". Pass the Vinkius endpoint directly into your Agent's mcps array. For tighter control, import MCPServerHTTP and apply a toolfilter.

Q: Can multiple CrewAI agents access PrestaShop data simultaneously?

Yes. One agent can execute listproducts while another runs listcustomers. They operate sequentially or hierarchically depending on your crew architecture, sharing the extracted data in memory.

Q: How does CrewAI handle API pagination limits?

You instruct your agents to pass bounds like 0,20 to the limit parameter string. The agent will autonomously loop through the pages if you prompt it to gather complete datasets.

Q: What is the best way to track PrestaShop stock with CrewAI?

Create a dedicated inventory agent. Give it access to liststock and getstock. Set it to run on a schedule, monitoring for low quantities and passing alerts to a moderator agent.

Deploy autonomous CrewAI agents to monitor PrestaShop inventory, track shipments, and analyze sales.

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…and any MCP-compatible client

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Connect PrestaShop MCP to CrewAI

Create your Vinkius account to connect PrestaShop to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup PrestaShop with CrewAI

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Assign Tasks to Specialized Agents

`list_orders` gives your monitoring agent a continuous feed of active fulfillment statuses. This agent scans recent sales history and hands the data to an analysis agent. The analyzer then uses `get_order` to trace nested line items and billing boundaries. Roles stay strictly separated. A logistics agent calls `list_addresses` to map delivery lines, while a separate customer service agent uses `list_customers` to track emails and account creation dates. They share memory, so context never gets lost during handoffs.

Run Autonomous Inventory Operations

`list_stock` feeds your inventory agent exact available quantities mapped over complex item structures. This agent runs autonomously in the background. When it spots an anomaly, it triggers `get_stock` to verify the specific resource ID. Product details complete the picture. `list_products` parses native XML responses into structured arrays for your catalog agent. It pulls full pricing and descriptions. If a product goes out of stock, the crew flags it immediately.

Map the PrestaShop MCP Server Geometry

`list_categories` exposes all root and child categories to your routing agent. It learns the store navigation geometry instantly. This prevents agents from requesting invalid product paths during data extraction. Financial agents need context. `list_currencies` lists all active currencies configured within the target store. Your AI client reads these configurations to normalize reporting data across international sales boundaries.

Setup guide

Set up PrestaShop MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke PrestaShop tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="PrestaShop Analyst",
    goal="Access and analyze PrestaShop data via MCP.",
    backstory="Expert analyst with direct PrestaShop access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent PrestaShop transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="PrestaShop Analyst",
        goal="Access and analyze PrestaShop data via MCP.",
        backstory="Expert analyst with direct PrestaShop access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent PrestaShop transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PrestaShop. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about PrestaShop MCP in CrewAI

Run `pip install crewai "crewai[tools]"`. Pass the Vinkius endpoint directly into your Agent's `mcps` array. For tighter control, import `MCPServerHTTP` and apply a `tool_filter`.

Yes. One agent can execute `list_products` while another runs `list_customers`. They operate sequentially or hierarchically depending on your crew architecture, sharing the extracted data in memory.

You instruct your agents to pass bounds like `0,20` to the limit parameter string. The agent will autonomously loop through the pages if you prompt it to gather complete datasets.

Create a dedicated inventory agent. Give it access to `list_stock` and `get_stock`. Set it to run on a schedule, monitoring for low quantities and passing alerts to a moderator agent.

Vinkius isolates every session. When your crew extracts physical delivery addresses and customer names via `list_addresses`, the memory is wiped after the task completes. The connection relies on a secure, single-token endpoint.

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