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 LangChain 8 tools — connect in under 2 minutes

Name: CellarPass
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect CellarPass 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({
        "cellarpass": {
            "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 CellarPass, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About CellarPass MCP Server

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

LangChain's ecosystem of 500+ components combines seamlessly with CellarPass through native MCP adapters. Connect 8 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

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 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 CellarPass to LangChain via MCP

Follow these steps to integrate the CellarPass 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 8 tools from CellarPass via MCP

Why Use LangChain with the CellarPass MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine CellarPass 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 CellarPass queries for multi-turn workflows

CellarPass + LangChain Use Cases

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

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

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

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

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

CellarPass MCP Tools for LangChain (8)

These 8 tools become available when you connect CellarPass to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

CellarPass + LangChain FAQ

Common questions about integrating CellarPass 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.