How is eCellar different from Commerce7?

eCellar is an all-in-one DTC platform popular with ultra-premium Napa Valley and Sonoma wineries. It includes CRM, ecommerce, POS, wine clubs, and reservations in a unified system with full REST API.

Does this integration require additional licensing from eCellar?

No, the Exchange REST API is generally available to all eCellar customers. You simply need to request your unique API Key and Secret from the eCellar support team as mentioned in the instructions.

Can I manage reservations with this tool?

Yes! The integration provides full access to your reservation and booking systems, allowing you to quickly query upcoming visits, manage guest lists, and track tasting room capacity.

eCellar MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: eCellar
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect eCellar through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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Vinkius supports streamable HTTP and SSE.

python

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 eCellar "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in eCellar?"
    )
    print(result.data)

asyncio.run(main())

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About eCellar MCP Server

Connect your eCellar winery to any AI agent and manage your premium DTC operation through natural conversation.

Pydantic AI validates every eCellar tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Customers — Search by name, email, or phone; view lifetime spend, club status, and tasting room history
Orders — Track online, tasting room, phone, and club shipment orders with full line items
Wine Clubs — Manage membership tiers, allocation, and shipment schedules
Products — Browse your wine catalog with pricing, tasting notes, and stock levels
Reservations — View and manage tasting room bookings by date
Inventory — Real-time stock across all locations: available, allocated, and on-hand

The eCellar MCP Server exposes 10 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 eCellar to Pydantic AI via MCP

Follow these steps to integrate the eCellar 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 10 tools from eCellar with type-safe schemas

Why Use Pydantic AI with the eCellar MCP Server

Pydantic AI provides unique advantages when paired with eCellar 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 eCellar integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your eCellar connection logic from agent behavior for testable, maintainable code

eCellar + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the eCellar MCP Server delivers measurable value.

Type-safe data pipelines: query eCellar with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple eCellar tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query eCellar and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock eCellar responses and write comprehensive agent tests

eCellar MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect eCellar to Pydantic AI via MCP:

get_customer

For VIP identification and personalized service. Get customer profile

get_order

Get order details

get_product

Get wine details

list_club_members

For retention and engagement tracking. List club members

list_clubs

Essential for DTC revenue planning. List wine clubs

list_inventory

Multi-location inventory management. List wine inventory

list_orders

With line items, totals, payment, and fulfillment status. List wine orders

list_products

The product catalog powering ecommerce and POS. List wine catalog

list_reservations

Filter by date for daily planning. List tasting reservations

search_customers

Returns profile, lifetime spend, wine club membership, tasting room visits, and purchase history. Core CRM data for personalized wine recommendations. Search wine customers

Example Prompts for eCellar in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with eCellar immediately.

"Who are our top 5 customers by lifetime spend?"

"Search for inventory levels of the 2019 Reserve Cabernet."

"Show me the reservation schedule for tomorrow afternoon."

Troubleshooting eCellar MCP Server with Pydantic AI

Common issues when connecting eCellar to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

eCellar + Pydantic AI FAQ

Common questions about integrating eCellar MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your eCellar MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.