Kibo Commerce 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 Kibo Commerce as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Kibo Commerce. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Kibo Commerce?"
)
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 Kibo Commerce MCP Server
Connect your Kibo Commerce account to any AI agent to automate your enterprise e-commerce operations. This MCP server enables your agent to interact with products, inventory, orders, and customer accounts directly through natural language.
LlamaIndex agents combine Kibo Commerce 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
- Catalog Management — List products and categories, and retrieve detailed metadata for your entire catalog
- Inventory Visibility — Get real-time stock levels and availability for any product across all locations
- Order Oversight — List and inspect commerce orders, including statuses and fulfillment details
- CRM Access — Query customer accounts and profile data registered in your tenant
- Infrastructure Tracking — List physical locations (stores/warehouses) and retrieve site settings
The Kibo Commerce 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 Kibo Commerce to LlamaIndex via MCP
Follow these steps to integrate the Kibo Commerce 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 Kibo Commerce
Why Use LlamaIndex with the Kibo Commerce MCP Server
LlamaIndex provides unique advantages when paired with Kibo Commerce through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kibo Commerce tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kibo Commerce tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kibo Commerce, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kibo Commerce tools were called, what data was returned, and how it influenced the final answer
Kibo Commerce + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kibo Commerce MCP Server delivers measurable value.
Hybrid search: combine Kibo Commerce real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kibo Commerce 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 Kibo Commerce for fresh data
Analytical workflows: chain Kibo Commerce queries with LlamaIndex's data connectors to build multi-source analytical reports
Kibo Commerce MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Kibo Commerce to LlamaIndex via MCP:
get_inventory_status
Get real-time inventory for a product
get_location_details
Get details for a specific location
get_order_details
Get details for a specific order
get_product_details
Get details for a specific product
get_site_settings
Get platform site settings
list_categories
List all catalog categories
list_customers
List all customer accounts
list_locations
List all inventory locations (stores/warehouses)
list_orders
List all commerce orders
list_products
Use this to explore your inventory and item metadata. List all products in the Kibo catalog
Example Prompts for Kibo Commerce in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Kibo Commerce immediately.
"Show me the details for product with code 'TSHIRT-RED-XL' in Kibo."
"What is the inventory status for product 'LAPTOP-PRO-15'?"
"List my 5 most recent orders in Kibo Commerce."
Troubleshooting Kibo Commerce MCP Server with LlamaIndex
Common issues when connecting Kibo Commerce to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKibo Commerce + LlamaIndex FAQ
Common questions about integrating Kibo Commerce 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 Kibo Commerce 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 Kibo Commerce to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.