eCellar MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add eCellar as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 eCellar. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in eCellar?"
)
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 eCellar MCP Server
Connect your eCellar winery to any AI agent and manage your premium DTC operation through natural conversation.
LlamaIndex agents combine eCellar tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- 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 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 eCellar to LlamaIndex via MCP
Follow these steps to integrate the eCellar 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 10 tools from eCellar
Why Use LlamaIndex with the eCellar MCP Server
LlamaIndex provides unique advantages when paired with eCellar through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine eCellar tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain eCellar tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query eCellar, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what eCellar tools were called, what data was returned, and how it influenced the final answer
eCellar + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the eCellar MCP Server delivers measurable value.
Hybrid search: combine eCellar real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query eCellar 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 eCellar for fresh data
Analytical workflows: chain eCellar queries with LlamaIndex's data connectors to build multi-source analytical reports
eCellar MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect eCellar to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting eCellar to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpeCellar + LlamaIndex FAQ
Common questions about integrating eCellar 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 eCellar 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 eCellar to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.