How to Use the CellarPass MCP in LlamaIndex

Q: Can LlamaIndex index historical reservation data from CellarPass?

Yes, you can pull records using listreservations and load them into a vector store. This lets LlamaIndex perform semantic search over past tasting room activity.

Q: How does LlamaIndex handle dynamic updates to winery experiences?

The agent calls getexperience in real-time to fetch the latest details. This bypasses the vector cache when exact, up-to-the-minute booking info is required.

Index live tasting room reservations and guest history into searchable vector stores using LlamaIndex.

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Connect CellarPass MCP to LlamaIndex

Create your Vinkius account to connect CellarPass to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CellarPass with LlamaIndex

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Build RAG pipelines over CellarPass reservations

`list_reservations` grabs the entire schedule of upcoming winery bookings to feed your local LlamaIndex vector store. Your indexer turns raw reservation logs into searchable knowledge, letting you query past booking trends using natural language instead of database filters. This setup grounds your RAG responses in actual winery capacity data. You query past booking trends directly through your LlamaIndex pipeline to forecast tasting room traffic.

Ground agent responses in live tasting data

`list_experiences` retrieves current pricing, duration, and winery capacity details to build a queryable LlamaIndex document store. The engine uses this live data to answer customer inquiries without hallucinating tasting options. The LlamaIndex query engine matches user questions against the retrieved experience list to suggest the best tasting package. This ensures your customers always receive current winery pricing and duration info.

Query guest history using this MCP Server

`search_guests` pulls detailed winery guest profiles containing VIP status and spending habits. LlamaIndex indexes these profiles, allowing your agent to instantly retrieve repeat visitor history for semantic search. You get a unified view of guest relationships by embedding these winery profiles into your LlamaIndex knowledge graph. The agent synthesizes this information to suggest personalized tasting flights.

Setup guide

Set up CellarPass MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all CellarPass MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to CellarPass tools.",
)
response = await agent.run("List recent CellarPass data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CellarPass. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CellarPass MCP in LlamaIndex

Install llama-index-tools-mcp and instantiate the BasicMCPClient with your Vinkius URL. Wrap it in McpToolSpec and call to_tool_list_async to pass the tools to your LlamaIndex agent.

Yes, you can pull records using list_reservations and load them into a vector store. This lets LlamaIndex perform semantic search over past tasting room activity.

Yes, you can use LlamaIndex's allowed tools filter to expose only specific endpoints like availability checking to certain agents. This keeps your agent focused and saves token costs.

The agent calls get_experience in real-time to fetch the latest details. This bypasses the vector cache when exact, up-to-the-minute booking info is required.

Vinkius runs this connector in an ephemeral, zero-trust sandbox environment. Your guest history and booking logs are never cached or used to train public models.

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