Can I check the inventory of a specific material variant?

Yes, use the `get_inventory_by_variant` tool with the unique variant ID to see current stock levels and availability in real-time.

Is it possible to list all current manufacturing orders?

Absolutely. The `list_manufacturing_orders` tool retrieves a list of all production jobs, helping you track shop floor activities.

Can I see my customer list via the agent?

Yes, the `list_customers` tool provides access to your customer database, making it easy to reference customer IDs for new sales orders.

Katana MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: Katana
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Katana through the Vinkius — pass the Edge URL in the `mcps` parameter and every Katana tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Katana Specialist",
    goal="Help users interact with Katana effectively",
    backstory=(
        "You are an expert at leveraging Katana tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Katana "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Katana becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Katana tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Katana MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 11 tools from Katana

Why Use CrewAI with the Katana MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Katana through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Katana + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Katana MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Katana for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Katana, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Katana tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Katana against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Katana MCP Tools for CrewAI (11)

These 11 tools become available when you connect Katana to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Katana to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Katana + CrewAI FAQ

Common questions about integrating Katana MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.