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How to Use the Commerce7 MCP in LlamaIndex

Index your Commerce7 winery data into LlamaIndex for grounded, searchable insights.

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LlamaIndex

Connect Commerce7 MCP to LlamaIndex

Create your Vinkius account to connect Commerce7 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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Searchable Commerce7 knowledge base

Use `search_customers` to pull profiles that LlamaIndex then vectorizes for semantic search. You get answers grounded in your actual customer history. Instead of guessing, your agent queries the index to find specific wine club members based on their order history or tasting room visits.

Query winery inventory with LlamaIndex

Run `list_inventory` to keep your knowledge base current with live stock levels. The agent treats these results as facts, preventing hallucinations when asked about wine availability. This creates a unified view where documents and API data exist in one searchable index. You get precise answers about what is ready for sale.

Contextualize Commerce7 orders

Fetch order details using `get_order` and let the agent index them for future reference. This allows your team to ask questions about historical shipping trends. Your RAG application uses these indexed records to provide context-aware responses. It turns raw API data into a conversational resource for your winery staff.

Setup guide

Set up Commerce7 MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Commerce7 MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 Commerce7 tools.",
)
response = await agent.run("List recent Commerce7 data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Commerce7. 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 Commerce7 MCP in LlamaIndex

The MCP tools fetch live data, which LlamaIndex then indexes into a vector store. This enables semantic search across your winery operations.
Yes, you can pull past order data and add it to your knowledge base. The agent then references these records to answer questions about past performance.
Data is only indexed within your local vector store as you define. Vinkius does not store or persist your winery information.
It integrates directly into FunctionAgents. You pass the tools to the agent, and it decides when to fetch data versus when to search the index.
We enforce strict transport security for every API call. Your sensitive customer profiles are never cached or exposed outside of your private agent session.

Start using the Commerce7 MCP today

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