How to Use the Commerce7 MCP in CrewAI

Run autonomous CrewAI agent teams that manage your winery's Commerce7 orders, club members, and tasting room reservations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Commerce7 MCP to CrewAI

Create your Vinkius account to connect Commerce7 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.

GDPR Free for Subscribers

Setup Commerce7 with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Auto-triage wine club churn with CrewAI

Your retention agent can run daily checks on high-risk members using `list_club_members` to find accounts nearing expiration. Instead of a human digging through winery dashboards, the agent flags accounts with declining lifetime values by calling `search_customers`. Once identified, a secondary outreach agent drafts tailored email offers based on their favorite wine collections. This MCP server lets your agents pull real-time purchase history via `get_customer` without manually exporting CSVs.

CrewAI agents coordinate wine inventory and orders

When order volumes spike during a new vintage release, your fulfillment crew steps in. One CrewAI agent monitors pending shipments using `list_orders` while another checks stock levels with `list_inventory`. If a specific Pinot Noir runs low, the agents can cross-reference `list_products` to suggest substitutions. They handle the logistics autonomously, updating your Slack channels with real-time stock alerts pulled straight from your winery database.

Run tasting room logistics via CrewAI

Managing weekend tasting room traffic requires tight coordination between bookings and promotions. Your receptionist agent checks upcoming visits using `list_reservations` to build the daily guest list. Meanwhile, a marketing agent matches those guests against active promotions using `list_coupons` to prepare personalized tasting menus. This tight loop keeps your tasting room staff informed and ensures VIP club members always get their discounts.

Setup guide

Set up Commerce7 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 Commerce7 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Commerce7 Analyst",
    goal="Access and analyze Commerce7 data via MCP.",
    backstory="Expert analyst with direct Commerce7 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Commerce7 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="Commerce7 Analyst",
        goal="Access and analyze Commerce7 data via MCP.",
        backstory="Expert analyst with direct Commerce7 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Commerce7 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 Commerce7. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Commerce7 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Commerce7 MCP in CrewAI

You simply pass your Vinkius endpoint URL directly into your CrewAI agent configuration using the mcps parameter. This MCP server connects directly to your existing setup, giving your specialized winery agents instant access to tools like `list_products` and `get_order`.

Currently, this integration focuses on reading and searching club data. Your agents can query membership lists using `list_club_members` and analyze customer profiles with `search_customers` to flag accounts that need human attention.

CrewAI agents share memory and can coordinate their tool calls to prevent hitting API thresholds. By structuring your crew's tasks sequentially, you ensure that one agent finishes pulling data with `list_orders` before another starts checking `list_inventory`.

Yes, you can restrict access by using the advanced MCPServerHTTP setup in your Python code. This allows you to apply a tool_filter so your marketing agent only sees `list_coupons` while your operations agent handles `list_inventory`.

Your customer profiles, purchase history, and wine club lists are protected by Vinkius's isolated sandbox architecture. The server processes these sensitive records in ephemeral containers, meaning no customer details are ever stored or cached on our servers after the agent completes its task.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript