Compatible with every major AI agent and IDE
Cancel order on Cornershop
Note: Orders can only be cancelled without penalty if the shopper hasn't started picking. Cancel a pending order
Create order on Cornershop
Requires a JSON string defining the cart (product IDs, quantities) and delivery address details. Place a new delivery order
Create webhook on Cornershop
g., shopper_assigned, order_delivered). Create a new explicit webhook
Get order on Cornershop
Get full details of a specific order
Get product on Cornershop
Get details of a specific product
Get store on Cornershop
Get details of a specific store branch
List orders on Cornershop
List your delivery orders
List shoppers on Cornershop
Get information about the assigned Shopper
List store aisles on Cornershop
List categories and aisles of a store
List stores on Cornershop
g. Jumbo, Lider, pharmacies). Can be geographically filtered by latitude and longitude. List available grocery stores and partners
List webhooks on Cornershop
List configured order webhooks
Search products on Cornershop
Returns matching SKUs, names, current pricing, and availability. Search for specific groceries and products
Track order on Cornershop
Get real-time tracking for a delivery
Update order on Cornershop
Useful for last-minute replacements or additions. Update an active order (e.g. add/remove items)
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How can I find out the exact location of my delivery?
If the order has reached the 'delivering' status, you can invoke the track_order tool with your order ID. It will return the last known latitude/longitude of the courier along with the ETA (Estimated Time of Arrival) to your destination address.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Cornershop Capabilities for AI Assistants
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Cornershop MCP server to manage operations across the following domains.
LLM Orchestration for grocery delivery
The Cornershop toolkit translates Claude's commands into grocery delivery operations. The MCP server ensures accurate delivery within the industry titans ecosystem.
Scaling last mile via MCP
Use Cornershop to manage last mile via conversational interfaces. The integration centralizes access control for industry titans operations performed by ChatGPT.
Cornershop. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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