Commerce7 MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Commerce7 as an MCP tool provider through the 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 Commerce7. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Commerce7?"
)
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 Commerce7 MCP Server
Connect your Commerce7 winery to any AI agent and run your entire direct-to-consumer business through natural conversation.
LlamaIndex agents combine Commerce7 tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the 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 value, club status, and order history
- Orders — Track wine purchases, online orders, club shipments, and POS sales with full line items
- Wine Clubs — Manage wine club memberships, allocation tiers, shipment schedules, and member retention
- Products — Browse your wine catalog with tasting notes, scores, pricing tiers, and vintage details
- Reservations — View tasting room bookings by date with party size, experience type, and host
- Inventory — Real-time stock levels: available, allocated, committed, and on-hand
- Collections & Coupons — Organize wine catalog categories and manage discount codes
The Commerce7 MCP Server exposes 12 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 Commerce7 to LlamaIndex via MCP
Follow these steps to integrate the Commerce7 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 12 tools from Commerce7
Why Use LlamaIndex with the Commerce7 MCP Server
LlamaIndex provides unique advantages when paired with Commerce7 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Commerce7 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Commerce7 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Commerce7, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Commerce7 tools were called, what data was returned, and how it influenced the final answer
Commerce7 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Commerce7 MCP Server delivers measurable value.
Hybrid search: combine Commerce7 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Commerce7 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 Commerce7 for fresh data
Analytical workflows: chain Commerce7 queries with LlamaIndex's data connectors to build multi-source analytical reports
Commerce7 MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Commerce7 to LlamaIndex via MCP:
get_customer
Get customer profile
get_order
Get order details
get_product
Get wine product details
list_club_members
List club members
list_clubs
The backbone of winery DTC revenue. List wine clubs
list_collections
Used for organizing the wine catalog. List wine collections
list_coupons
With usage limits, expiry dates, and redemption counts. List active coupons
list_inventory
List wine inventory
list_orders
Filter by status: Fulfilled, Processing, Pending. Shows items, totals, and shipping. List wine orders
list_products
The wine catalog powering ecommerce and POS. List wine products
list_reservations
Filter by date for daily planning. List tasting reservations
search_customers
Returns customer profile, lifetime value, wine club status, order history, and tasting room visits. Essential for DTC relationship management. Search wine customers
Example Prompts for Commerce7 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Commerce7 immediately.
"How many wine club members renewed this month?"
"Show me the details for order number 'ORD-892'."
"Are there any reservations for the tasting room tomorrow?"
Troubleshooting Commerce7 MCP Server with LlamaIndex
Common issues when connecting Commerce7 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCommerce7 + LlamaIndex FAQ
Common questions about integrating Commerce7 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 Commerce7 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 Commerce7 to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.