Extensiv MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Extensiv as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Extensiv. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Extensiv?"
)
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 Extensiv MCP Server
Connect your Extensiv (formerly Skubana) account to any AI agent and take full control of your omnichannel e-commerce operations and inventory management through natural conversation.
LlamaIndex agents combine Extensiv tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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
- Order Orchestration — List and filter omnichannel orders to retrieve order numbers, statuses, channel mappings, and line items natively
- Inventory Auditing — Monitor current stock levels across all warehouses, including available, committed, on-order, and in-transit quantities
- Warehouse Management — Retrieve configurations for 3PL and in-house warehouses, identifying addresses and capability settings flawlessly
- Supply Chain Oversight — List purchase orders (POs) and track vendor shipments, expected delivery dates, and receiving statuses securely
- Product Master Data — Access core product details including SKUs, dimensions, weights, and costs to manage your catalog metadata
- Vendor & Brand Control — Manage supplier contact details, lead times, and payment terms, and list all product brands configured in the system
- Return & RMA Tracking — Monitor return merchandise authorizations with reason codes, status updates, and linked refund amounts in real-time
- Customer Intelligence — Retrieve customer profiles with shipping addresses and order history summaries to resolve inquiries limitlessly
The Extensiv MCP Server exposes 10 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 Extensiv to LlamaIndex via MCP
Follow these steps to integrate the Extensiv 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 10 tools from Extensiv
Why Use LlamaIndex with the Extensiv MCP Server
LlamaIndex provides unique advantages when paired with Extensiv through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Extensiv tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Extensiv tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Extensiv, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Extensiv tools were called, what data was returned, and how it influenced the final answer
Extensiv + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Extensiv MCP Server delivers measurable value.
Hybrid search: combine Extensiv real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Extensiv 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 Extensiv for fresh data
Analytical workflows: chain Extensiv queries with LlamaIndex's data connectors to build multi-source analytical reports
Extensiv MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Extensiv to LlamaIndex via MCP:
list_brands
1/brands. Returns all product brands configured in the system with brand name and description. No parameters required. List Extensiv brands
list_customers
1/customers with pagination. Returns customer profiles with name, email, phone, shipping address, and order history summary. List Extensiv customers
list_inventory
1/inventory with pagination. Returns current stock levels by warehouse and product, including available, committed, on-order, and in-transit quantities. List Extensiv inventory levels
list_orders
1/orders with pagination. Returns orders with order number, status, channel, shipping address, line items, and fulfillment tracking. Pass limit to control page size (default 100). List Extensiv/Skubana orders
list_pos
1/purchaseorders with pagination. Returns PO number, vendor, expected date, line items with SKU and quantity, and receiving status. List Extensiv purchase orders
list_products
1/products with pagination. Returns product master data including SKU, name, dimensions, weight, cost, and linked vendor information. List Extensiv products
list_rmas
1/rmas with pagination. Returns return merchandise authorizations with reason code, status, linked order, refund amount, and items being returned. List Extensiv returns (RMAs)
list_shipments
1/shipments with pagination. Returns shipment tracking details including carrier, tracking number, ship date, delivery status, and linked order references. List Extensiv shipments
list_vendors
1/vendors. Returns all configured vendors with name, contact details, lead time, currency, and payment terms. No parameters required. List Extensiv vendors/suppliers
list_warehouses
1/warehouses. Returns all configured 3PL and in-house warehouses with name, address, type, and capability settings. No parameters required. List Extensiv warehouses
Example Prompts for Extensiv in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Extensiv immediately.
"List the last 5 orders from my Shopify channel"
"What is the available stock for SKU 'TSHIRT-BLU-L' at the Main Warehouse?"
"Show me the status of purchase order PO-999"
Troubleshooting Extensiv MCP Server with LlamaIndex
Common issues when connecting Extensiv to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpExtensiv + LlamaIndex FAQ
Common questions about integrating Extensiv 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 Extensiv 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 Extensiv to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.