CellarPass MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CellarPass as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to CellarPass. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in CellarPass?"
)
print(response)
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 CellarPass MCP Server
Connect your CellarPass tasting room to any AI agent and transform how you manage guest experiences.
LlamaIndex agents combine CellarPass tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the CellarPass MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the CellarPass MCP Server
LlamaIndex provides unique advantages when paired with CellarPass through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CellarPass tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CellarPass tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CellarPass, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CellarPass tools were called, what data was returned, and how it influenced the final answer
CellarPass + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CellarPass MCP Server delivers measurable value.
Hybrid search: combine CellarPass real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CellarPass to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CellarPass for fresh data
Analytical workflows: chain CellarPass queries with LlamaIndex's data connectors to build multi-source analytical reports
CellarPass MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect CellarPass to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting CellarPass to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCellarPass + LlamaIndex FAQ
Common questions about integrating CellarPass MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect CellarPass 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 CellarPass to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.