Katana MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Katana through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"katana": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Katana, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Katana through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Katana MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 11 tools from Katana via MCP
Why Use LangChain with the Katana MCP Server
LangChain provides unique advantages when paired with Katana through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Katana MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Katana queries for multi-turn workflows
Katana + LangChain Use Cases
Practical scenarios where LangChain combined with the Katana MCP Server delivers measurable value.
RAG with live data: combine Katana tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Katana, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Katana tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Katana tool call, measure latency, and optimize your agent's performance
Katana MCP Tools for LangChain (11)
These 11 tools become available when you connect Katana to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Katana to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKatana + LangChain FAQ
Common questions about integrating Katana MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.