How to Use the Cornershop MCP in CrewAI

Q: How do I limit which Cornershop tools a specific CrewAI agent can access?

You use the toolfilter configuration when setting up the server connection. This lets you restrict your buyer agent to createorder while giving your tracking agent access only to trackorder.

Q: Can CrewAI agents search for groceries across different store branches?

Yes, your research agent can use liststores with coordinate filters to find nearby retailers, then run liststoreaisles to map out the best path for purchasing.

Run a coordinated team of grocery-buying agents using CrewAI and the Cornershop MCP Server.

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Connect Cornershop MCP to CrewAI

Create your Vinkius account to connect Cornershop 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 Cornershop with CrewAI

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Multi-agent grocery operations in CrewAI

Dividing grocery shopping tasks among specialized agents relies on tools like `list_stores` and `search_products`. With this MCP Server, you can assign one CrewAI agent to search local stock, while another agent handles budget allocation and cart assembly. A third coordinator agent monitors the purchase process. This agent takes the final payload and runs `create_order` once the shopping list matches your exact budget and dietary requirements.

Autonomous shopper and order monitoring

Monitoring active grocery runs is handled autonomously when your CrewAI agents query `list_orders` and `list_shoppers`. A separate dispatcher agent queries `list_shoppers` via this MCP Server to verify who is picking up the items. If a delivery stalls, the coordinator agent executes `track_order` to find the bottleneck. It can then make decisions to swap stores or cancel the run entirely if the timeline slips too far.

Dynamic cart adjustments and cancellations

Adjusting active carts on the fly requires coordinated execution of `list_store_aisles` and `update_order`. In a CrewAI setup, a shopper-facing agent can intercept issues by calling `list_store_aisles` to find similar categories and find immediate replacements. The agent then runs `update_order` to modify the active cart. If the replacement items don't meet your quality standards, the supervisor agent can execute `cancel_order` before the shopper checks out.

Setup guide

Set up Cornershop 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 Cornershop tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You assign different tools to different agents. One agent uses `search_products` to find the best prices, while another executes `create_order` once the cart is finalized and approved.

Yes, the supervisor agent can monitor the delivery status. If the timeline is missed, it calls `cancel_order` to halt the delivery before the shopper begins picking.

You use the `tool_filter` configuration when setting up the server connection. This lets you restrict your buyer agent to `create_order` while giving your tracking agent access only to `track_order`.

Yes, your research agent can use `list_stores` with coordinate filters to find nearby retailers, then run `list_store_aisles` to map out the best path for purchasing.

Your latitude, longitude, and product search queries are transmitted directly to the Uber API over encrypted channels. Our zero-trust sandbox ensures no location histories or search profiles are retained after the agent completes its run.

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