Katana MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Katana as an MCP tool provider through the 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 Katana. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Katana?"
)
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 Katana MCP Server
Connect your Katana Cloud Manufacturing account to any AI agent to streamline your production and shop floor operations. This MCP server enables your agent to interact with products, materials, and complex manufacturing workflows directly from natural language interfaces.
LlamaIndex agents combine Katana tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through the 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
- Production Visibility — List and inspect manufacturing orders (MOs) and production tasks
- Order Management — List, retrieve, and create sales orders (SOs) and purchase orders (POs)
- Inventory Control — Get real-time stock levels for products and material variants to prevent stockouts
- Catalog Exploration — Query your full product and material database, including metadata and internal IDs
- Supply Chain Management — Access lists of suppliers and customers to maintain clear partner visibility
The Katana MCP Server exposes 11 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 Katana to LlamaIndex via MCP
Follow these steps to integrate the Katana 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 11 tools from Katana
Why Use LlamaIndex with the Katana MCP Server
LlamaIndex provides unique advantages when paired with Katana through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Katana tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Katana tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Katana, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Katana tools were called, what data was returned, and how it influenced the final answer
Katana + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Katana MCP Server delivers measurable value.
Hybrid search: combine Katana real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Katana 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 Katana for fresh data
Analytical workflows: chain Katana queries with LlamaIndex's data connectors to build multi-source analytical reports
Katana MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Katana to LlamaIndex via MCP:
create_sales_order
Requires a customer ID. Create a new sales order
get_inventory_by_variant
Get inventory levels for a specific variant
get_sales_order
Get details for a specific sales order
list_customers
List all customers
list_inventory
List overall inventory status
list_manufacturing_orders
List all manufacturing orders
list_materials
List all materials in Katana
list_products
List all products in Katana
list_purchase_orders
List all purchase orders
list_sales_orders
List all sales orders
list_suppliers
List all suppliers
Example Prompts for Katana in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Katana immediately.
"Show me all active sales orders in Katana."
"Check the inventory level for variant ID 'VAR_987'."
"List all my manufacturing orders."
Troubleshooting Katana MCP Server with LlamaIndex
Common issues when connecting Katana to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKatana + LlamaIndex FAQ
Common questions about integrating Katana 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 Katana 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 Katana to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.