Cornershop MCP Server for LlamaIndex 14 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cornershop as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Cornershop. "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in Cornershop?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Cornershop tool responses with indexed documents for comprehensive, grounded answers. Connect 14 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Cornershop MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 14 tools from Cornershop
Why Use LlamaIndex with the Cornershop MCP Server
LlamaIndex provides unique advantages when paired with Cornershop through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cornershop tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cornershop tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cornershop, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cornershop tools were called, what data was returned, and how it influenced the final answer
Cornershop + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cornershop MCP Server delivers measurable value.
Hybrid search: combine Cornershop real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cornershop to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Cornershop for fresh data
Analytical workflows: chain Cornershop queries with LlamaIndex's data connectors to build multi-source analytical reports
Cornershop MCP Tools for LlamaIndex (14)
These 14 tools become available when you connect Cornershop to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Cornershop to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCornershop + LlamaIndex FAQ
Common questions about integrating Cornershop MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Cornershop with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Cornershop to LlamaIndex
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.