Can I add items to my order after the shopper has been assigned?

Yes! As long as the order status is currently 'shopping', you can use the `update_order` tool to pass a JSON array with new product IDs and quantities. The Shopper's app will update dynamically with the new additions.

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.

Does this work across all LATAM countries where Cornershop operates?

Yes. The API uses global endpoints. When mapping stores using `list_stores`, you supply your local latitude and longitude to receive the stores available in your immediate geographic region (Chile, Mexico, Brazil, Colombia, Peru, etc).

Cornershop MCP Server for LangChain 14 tools — connect in under 2 minutes

Name: Cornershop
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 14 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Cornershop through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "cornershop": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Cornershop, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cornershop MCP Server

Connect your Cornershop by Uber B2B account to any AI agent and manage your last-mile grocery delivery operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Cornershop through native MCP adapters. Connect 14 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Store & Product Discovery — Search through connected retail partners (Jumbo, Lider, pharmacies), browse their aisles, and find specific SKUs with real-time pricing and availability
Order Creation — Construct shopping carts dynamically and place delivery orders directly through your AI agent
Live Tracking — Monitor the real-time status of your orders, from picking to delivery, including GPS tracking of the assigned Shopper
Order Modification — Add or remove items from the cart while the Shopper is still in the store, without opening the mobile app
Shopper Communication — Retrieve contact details for assigned Shoppers to resolve delivery issues instantly

The Cornershop MCP Server exposes 14 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Cornershop to LangChain via MCP

Follow these steps to integrate the Cornershop MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 14 tools from Cornershop via MCP

Why Use LangChain with the Cornershop MCP Server

LangChain provides unique advantages when paired with Cornershop through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Cornershop MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Cornershop queries for multi-turn workflows

Cornershop + LangChain Use Cases

Practical scenarios where LangChain combined with the Cornershop MCP Server delivers measurable value.

RAG with live data: combine Cornershop tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Cornershop, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Cornershop tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Cornershop tool call, measure latency, and optimize your agent's performance

Cornershop MCP Tools for LangChain (14)

These 14 tools become available when you connect Cornershop to LangChain via MCP:

cancel_order

Note: Orders can only be cancelled without penalty if the shopper hasn't started picking. Cancel a pending order

create_order

Requires a JSON string defining the cart (product IDs, quantities) and delivery address details. Place a new delivery order

create_webhook

g., shopper_assigned, order_delivered). Create a new explicit webhook

get_order

Get full details of a specific order

get_product

Get details of a specific product

get_store

Get details of a specific store branch

list_orders

List your delivery orders

list_shoppers

Get information about the assigned Shopper

list_store_aisles

List categories and aisles of a store

list_stores

g. Jumbo, Lider, pharmacies). Can be geographically filtered by latitude and longitude. List available grocery stores and partners

list_webhooks

List configured order webhooks

search_products

Returns matching SKUs, names, current pricing, and availability. Search for specific groceries and products

track_order

Get real-time tracking for a delivery

update_order

Useful for last-minute replacements or additions. Update an active order (e.g. add/remove items)

Example Prompts for Cornershop in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Cornershop immediately.

"Search for Jumbo stores near latitude -33.4372 and longitude -70.6506 (Santiago Centro)."

"Where is the shopper for my order #CS-44919?"

"Place an order at Lider (ID: LDR-10) for 2 units of SKU 'Milk-Whole-1L' and deliver into the corporate office."

Troubleshooting Cornershop MCP Server with LangChain

Common issues when connecting Cornershop to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Cornershop + LangChain FAQ

Common questions about integrating Cornershop MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.