How to Use the Coppel MCP in CrewAI

Deploy autonomous agent crews in CrewAI to manage Coppel retail operations, from inventory browsing to order fulfillment.

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Connect Coppel MCP to CrewAI

Create your Vinkius account to connect Coppel to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Coppel with CrewAI

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Autonomous CrewAI retail agents

Assign a researcher agent to `list_products` and `list_promotions` while a separate agent handles the checkout process. They share memory to keep operations synchronized. This division of labor allows your crew to manage entire retail cycles. They work in parallel to save time.

CrewAI credit and order oversight

Set up a monitor agent to watch customer accounts using `get_customer_credit`. It can trigger a notification if a customer's credit status changes. Your crew stays proactive. You stop chasing issues and start preventing them.

Coppel location scouting for CrewAI

Task your agents with mapping store coverage using `list_stores` across different regions. They identify the best locations for your logistics needs. It turns a tedious research task into a background operation. Your agents handle the heavy lifting while you focus on strategy.

Setup guide

Set up Coppel 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 Coppel tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Coppel 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="Coppel Analyst",
        goal="Access and analyze Coppel data via MCP.",
        backstory="Expert analyst with direct Coppel access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Coppel 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 Coppel. 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 Coppel MCP in CrewAI

They use shared memory to pass order IDs and customer details between agents. One agent creates the order, and the next verifies the payment status.

Yes, you define a specialized agent with access to the credit tools. It performs the check and passes the result to the decision-making agent.

All tool interactions occur through a secure, isolated sandbox. We ensure that your customer credit history is processed only within the authorized memory space of your crew.

You simply add the server URL to your agent configuration. It automatically imports the tools, allowing you to reference them by name in your agent tasks.

You use a tool filter in your MCP configuration. This restricts the agent to only the functions you specify, keeping your operations locked down.

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