Cornershop MCP Server for Pydantic AI 14 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cornershop through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Cornershop "
"(14 tools)."
),
)
result = await agent.run(
"What tools are available in Cornershop?"
)
print(result.data)
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.
Pydantic AI validates every Cornershop tool response against typed schemas, catching data inconsistencies at build time. Connect 14 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Cornershop MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Cornershop MCP Server
Pydantic AI provides unique advantages when paired with Cornershop through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Cornershop integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Cornershop connection logic from agent behavior for testable, maintainable code
Cornershop + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Cornershop MCP Server delivers measurable value.
Type-safe data pipelines: query Cornershop with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Cornershop tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Cornershop and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Cornershop responses and write comprehensive agent tests
Cornershop MCP Tools for Pydantic AI (14)
These 14 tools become available when you connect Cornershop to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Cornershop to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCornershop + Pydantic AI FAQ
Common questions about integrating Cornershop MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.