How to Use the Extensiv MCP in LlamaIndex

Q: Can LlamaIndex query Extensiv products without hallucinations?

Yes, because listproducts provides the master SKU data directly to the LlamaIndex index. Your agent references actual dimensions, weights, and costs instead of guessing.

Q: Can I filter which Extensiv tools are exposed?

You can use the allowedtools filter in LlamaIndex to restrict your agent's access. For instance, you can expose listinventory while hiding sensitive customer profiles from the index.

Q: How secure is my Extensiv inventory data inside the index?

Your SKU records and stock levels fetched via listinventory are stored locally in your vector database. The Vinkius connection uses encrypted, ephemeral tokens that prevent unauthorized access to your physical warehouse counts.

Connect Extensiv to LlamaIndex to query real-time logistics data without hallucinations.

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Connect Extensiv MCP to LlamaIndex

Create your Vinkius account to connect Extensiv 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 Extensiv with LlamaIndex

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Index Live Inventory for RAG

`list_inventory` retrieves real-time stock levels across your network so your LlamaIndex pipelines can index actual counts into vector stores. Look, here's the deal: this stops your agent from hallucinating stock availability when answering customer support queries. The MCP Server updates your indexes dynamically, combining physical warehouse data with your existing document stores. You search across both product manuals and live Extensiv stock counts with a single LlamaIndex query.

Semantic Search with LlamaIndex and Extensiv

`list_orders` feeds your entire order history, including fulfillment tracking and line items, directly into your LlamaIndex knowledge base. This turns raw transactional data from your channels into searchable, semantic records. Instead of running SQL queries, you ask your LlamaIndex agent which orders are delayed. The agent queries the index, matches the status, and gives you a grounded answer from your Extensiv data.

Map Warehouse Capabilities and Locations

`list_warehouses` returns active 3PL and in-house warehouse configurations, including physical addresses and operational settings. LlamaIndex parses these locations to build a semantic map of your distribution network. When a shipping query comes in, the agent checks this indexed warehouse data alongside `list_shipments` to find the closest fulfillment node. You get instant answers based on physical constraints stored in Extensiv.

Setup guide

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

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Common questions about Extensiv MCP in LlamaIndex

Use McpToolSpec to wrap the MCP Server tools and load them into your LlamaIndex index pipeline. This lets your agent query list_warehouses and search the output semantically.

Yes, because list_products provides the master SKU data directly to the LlamaIndex index. Your agent references actual dimensions, weights, and costs instead of guessing.

Install llama-index-tools-mcp and pass the Vinkius endpoint URL to the BasicMCPClient. From there, call to_tool_list_async() to register tools like list_brands with your LlamaIndex agent.

You can use the allowed_tools filter in LlamaIndex to restrict your agent's access. For instance, you can expose list_inventory while hiding sensitive customer profiles from the index.

Your SKU records and stock levels fetched via list_inventory are stored locally in your vector database. The Vinkius connection uses encrypted, ephemeral tokens that prevent unauthorized access to your physical warehouse counts.

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