How many wineries use CellarPass?

CellarPass serves 800+ wineries across Napa Valley, Sonoma, Oregon, Washington, and other premier wine regions. It's the #1 tasting room reservation platform.

Can I flag or review VIP guest history using this integration?

Yes! Your AI can pull visitor profiles and tag high-revenue VIPs, highlighting lifetime spend seamlessly when generating your daily prep reviews.

Does it manage multiple tasting room venues?

Correct. With 'Venues' configuration endpoints natively wired, the AI can cross-reference capacities against your separate tasting properties in a single conversational flow.

CellarPass MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: CellarPass
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

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

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 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 CellarPass "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 CellarPass MCP Server

Connect your CellarPass tasting room to any AI agent and transform how you manage guest experiences.

Pydantic AI validates every CellarPass tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Reservations — View today's bookings, upcoming reservations, and guest details by date
Experiences — Browse all tasting experiences: Reserve Tasting, Vineyard Tour, Food & Wine Pairing, Private Cellar
Availability — Check open time slots for any experience on any date
Venues — Manage multiple tasting room locations with hours and capacity
Guests — Search guest profiles: visit history, favorite experiences, spending, and VIP status

The CellarPass MCP Server exposes 8 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 CellarPass to Pydantic AI via MCP

Follow these steps to integrate the CellarPass 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 8 tools from CellarPass with type-safe schemas

Why Use Pydantic AI with the CellarPass MCP Server

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

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

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

CellarPass + Pydantic AI Use Cases

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

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

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

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

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

CellarPass MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect CellarPass to Pydantic AI via MCP:

check_availability

Essential for booking coordination. Check booking availability

get_experience

Get experience details

get_reservation

For pre-visit preparation. Get reservation details

get_venue

Get venue details

list_experiences

With pricing, duration, capacity, and description. List tasting experiences

list_reservations

Filter by date for daily planning. THE core tool for tasting room managers — "Who's coming today?" List tasting reservations

list_venues

For multi-location wineries. List tasting venues

search_guests

Returns visit history, favorite experiences, spending, and VIP status. For personalized hospitality. Search guests

Example Prompts for CellarPass in Pydantic AI

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

"What reservations do we have for this Saturday?"

"Open a slot for Vineyard Tour tomorrow at 2PM."

"Look up John Doe's past visits and favored pairings."

Troubleshooting CellarPass MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CellarPass + Pydantic AI FAQ

Common questions about integrating CellarPass 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 CellarPass MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.