How to Use the Wherefour MCP in LlamaIndex

Q: How do I check historical order status using Wherefour and LlamaIndex?

You can index the output of listorders to create a searchable record. If someone asks about an old order, the answer comes directly from that indexed data.

Q: Can I find out about multiple locations using Wherefour and LlamaIndex?

Yes. You query the listlocations output and index it. This allows you to ask questions like, 'Which facility holds product Z?' and get a precise answer from your knowledge base.

Q: Where is the best place to check for ingredient formulas with Wherefour and LlamaIndex?

You can index the results of listformulas. This lets you build a searchable resource that answers complex questions about production recipes based on past data.

Q: If I query billing history, what specific data type does Wherefour and LlamaIndex use?

The server uses customer invoice records (listinvoices) to build the knowledge base. This means you're querying actual financial transactions.

Ground complex queries in data history with LlamaIndex and Wherefour.

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Connect Wherefour MCP to LlamaIndex

Create your Vinkius account to connect Wherefour 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 Wherefour with LlamaIndex

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Search Historical Inventory Issues

Instead of just calling `search_inventory`, you index the results. This means if a user asks, 'Why did we run low on widgets last month?', LlamaIndex retrieves the actual data points from past calls. It combines live API data with your documents, giving answers grounded in wherefour's specific history.

Build Customer Account Knowledge Bases

You can index the output of `list_customers` and `list_invoices`. Later, you query this knowledge base to answer questions like, 'What was that client's billing cycle last quarter?' without calling the API again. This capability turns transient API calls into permanent, searchable business intelligence.

Track Vendor Relationships Over Time

By indexing `list_vendors` and `list_purchases`, you create a knowledge graph of supplier interactions. You can ask semantic questions like, 'What is the average lead time for parts from Supplier X?' It combines transactional data with natural language query capabilities.

Setup guide

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

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

You can index the output of `list_orders` to create a searchable record. If someone asks about an old order, the answer comes directly from that indexed data.

The server touches inventory items, orders, customers, vendors, stock lots, invoices, and purchase records. All this structured data can be included in your vector store.

Yes. You query the `list_locations` output and index it. This allows you to ask questions like, 'Which facility holds product Z?' and get a precise answer from your knowledge base.

You can index the results of `list_formulas`. This lets you build a searchable resource that answers complex questions about production recipes based on past data.

The server uses customer invoice records (`list_invoices`) to build the knowledge base. This means you're querying actual financial transactions.

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