How to Use the Vinsight MCP in LlamaIndex

Q: How does Vinsight help track quality control with LlamaIndex?

You index the results from listlabresults. This creates a searchable record of compliance checks, letting you ask questions like: 'Show all batches that had elevated protein levels in January.' The answers are grounded in real data.

Q: Can LlamaIndex help with multi-site inventory management for Vinsight?

Yes. By indexing listwarehouses and liststocklevels, you can query across multiple sites simultaneously. You'll get answers specific to the physical locations managed by Vinsight.

Q: Does Vinsight support tracking various product categories?

Absolutely. Since searchstockitems handles wine, beer, and spirits, indexing this data means your knowledge base covers all core revenue streams for your operation.

Q: What specific data does the Vinsight MCP Server touch regarding production assets?

The server touches tank details (listvessels), physical location data (listwarehouses), and process inputs from listpurchaseorders. These are all indexable for advanced querying.

Q: What type of data does the Vinsight MCP Server touch regarding sales?

The server touches core revenue tracking via listsalesorders, specific product records from getstockitem, and contact order history from searchcontacts.

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Connect Vinsight MCP to LlamaIndex

Create your Vinkius account to connect Vinsight 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 Vinsight with LlamaIndex

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Building Knowledge Graphs of Production Flow

Don't just run a query; index the answer. If you need to know which wines were produced in Q3 last year, use `list_production_orders`. The resulting data becomes part of your knowledge base. Later, you can ask LlamaIndex: 'What was our primary focus after the 2023 Merlot harvest?' and get a grounded answer based on historical API records.

Retrieving Specific Inventory Details via MCP Server

The `get_stock_item` tool pulls definitive product records. If you index these results, your AI client can answer complex questions like: 'What is the unit of measure and tax code for our premium IPA?' This capability moves beyond simple lookups; it lets you query thousands of products using natural language over the raw data.

Cross-Referencing Sales, Inventory, and Contacts

Need to know why a specific client placed an order? You can combine `search_contacts` with `list_sales_orders`. The output is indexed, letting your agent semantically search for connections between people and revenue. This process allows the AI to answer questions like: 'Which contacts ordered high volumes of beer in late September?' based on stored data.

Setup guide

Set up Vinsight 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 Vinsight 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 Vinsight tools.",
)
response = await agent.run("List recent Vinsight data")

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Common questions about Vinsight MCP in LlamaIndex

You index the results from `list_lab_results`. This creates a searchable record of compliance checks, letting you ask questions like: 'Show all batches that had elevated protein levels in January.' The answers are grounded in real data.

Yes. By indexing `list_warehouses` and `list_stock_levels`, you can query across multiple sites simultaneously. You'll get answers specific to the physical locations managed by Vinsight.

Absolutely. Since `search_stock_items` handles wine, beer, and spirits, indexing this data means your knowledge base covers all core revenue streams for your operation.

The server touches tank details (`list_vessels`), physical location data (`list_warehouses`), and process inputs from `list_purchase_orders`. These are all indexable for advanced querying.

The server touches core revenue tracking via `list_sales_orders`, specific product records from `get_stock_item`, and contact order history from `search_contacts`.

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