Where do I find my Kyte API Key?

Log in to the Kyte web dashboard or app, navigate to **Settings**, and look for the **API** or **Developer** section to generate a key.

Can I see stock levels for specific products?

Yes, use the `get_inventory_status` tool to see quantities for all products in your catalog.

Does this support multiple store locations?

The API key is typically linked to a specific store account. Ensure you are using the correct key for the desired store.

Kyte MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Kyte
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kyte as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Kyte. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Kyte?"
    )
    print(response)

asyncio.run(main())

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About Kyte MCP Server

Connect your AI agent to Kyte, the mobile-first POS system designed for small businesses to manage inventory and sales anywhere.

LlamaIndex agents combine Kyte 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.

Key Features

Catalog Auditing — List all products and categories to maintain your digital storefront
Order Tracking — Access and monitor sales orders, status updates, and customer history
Inventory Management — Check stock levels in real-time to prevent sell-outs
Customer CRM — View profiles and transaction history for your store's buyers
Financial Visibility — List transactions and casher logs to monitor store performance

Simple Setup

1. Subscribe to this server
2. Log in to Kyte, go to Settings > API, and generate an API Key
3. Enter your key in the configuration panel
4. Start managing your store via natural language

The Kyte 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 Kyte to LlamaIndex via MCP

Follow these steps to integrate the Kyte 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 Kyte

Why Use LlamaIndex with the Kyte MCP Server

LlamaIndex provides unique advantages when paired with Kyte through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Kyte tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Kyte tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Kyte, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Kyte tools were called, what data was returned, and how it influenced the final answer

Kyte + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Kyte MCP Server delivers measurable value.

Hybrid search: combine Kyte real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Kyte 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 Kyte for fresh data

Analytical workflows: chain Kyte queries with LlamaIndex's data connectors to build multi-source analytical reports

Kyte MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Kyte to LlamaIndex via MCP:

get_customer_profile

Get details for a specific customer

get_inventory_status

Check current inventory levels

get_kyte_store_status

Get current store operational status

get_order_details

Get details for a specific order

get_product_details

Get details for a specific product

list_financial_transactions

List financial transactions

list_kyte_customers

List store customers

list_kyte_orders

Use this to audit recent transactions and delivery statuses. List recent store orders

list_kyte_products

Returns product IDs, names, and current prices. List all products in the store

list_product_categories

List product categories

Example Prompts for Kyte in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Kyte immediately.

"List all products in my Kyte store"

"Show the last 5 orders"

"Which products are low on stock?"

Troubleshooting Kyte MCP Server with LlamaIndex

Common issues when connecting Kyte to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Kyte + LlamaIndex FAQ

Common questions about integrating Kyte MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.