How to Use the Katana MCP in Mastra AI

Q: How do I register Katana tools in Mastra AI?

Install @mastra/mcp@latest and instantiate an MCPClient with the server URL. Call mcpClient.listTools() to load the Katana MCP Server tools and spread the result into your Agent's tools array.

Q: Can Mastra AI pause a Katana workflow for human approval?

Yes. You can set requireToolApproval on destructive actions like createsalesorder. The workflow halts until a manager clicks approve.

Q: Is my Katana purchase order data secure in Mastra AI?

This server pulls sensitive pricing and vendor terms via listpurchaseorders. We isolate every single request within an ephemeral V8 sandbox, meaning zero logs of your financial data persist after the API call completes.

Build fault-tolerant Katana ERP workflows with Mastra AI and this MCP Server.

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Connect Katana MCP to Mastra AI

Create your Vinkius account to connect Katana to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Katana with Mastra AI

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Claude

Perplexity

Conditional Workflow Branching

The `list_inventory` and `get_inventory_by_variant` tools feed directly into Mastra AI conditional branches. If a specific variant drops below a threshold, your workflow automatically triggers a reorder sequence. You configure the logic to check stock first, then conditionally execute `list_materials` to verify raw material availability. The built-in exponential backoff ensures Katana API rate limits won't break your automation during sudden demand spikes.

Resilient Order Synchronization

Mastra AI wraps `create_sales_order` in automatic retry logic when network drops occur. You pass the required customer ID, and the framework guarantees the payload reaches the ERP system. Complex operations often fail halfway through. By chaining `list_customers` with order creation, your workflow verifies identity before writing data, using the MCP Server to handle the actual HTTP execution securely.

Automated Katana Manufacturing Pipelines

Running `list_manufacturing_orders` inside a Mastra AI agent creates a reliable pipeline for production updates. The agent reads the current build queue and can notify stakeholders if delays appear. You deploy these multi-step processes with a single command to any cloud provider. Passing `list_purchase_orders` and `list_suppliers` into your agent tools gives it complete context to manage vendor relationships autonomously.

Setup guide

Set up Katana MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Katana tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "katana-mcp-client",
  servers: {
    "katana-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Katana Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Katana tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Katana transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Katana. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Katana MCP in Mastra AI

Install `@mastra/mcp@latest` and instantiate an `MCPClient` with the server URL. Call `mcpClient.listTools()` to load the Katana MCP Server tools and spread the result into your Agent's tools array.

Yes. You can set `requireToolApproval` on destructive actions like `create_sales_order`. The workflow halts until a manager clicks approve.

The framework relies on its built-in exponential backoff. If Katana throws a 429 error on `list_products`, the agent waits and retries automatically.

It auto-detects between Streamable HTTP and SSE based on your environment. You provide the endpoint URL and Mastra handles the connection layer.

This server pulls sensitive pricing and vendor terms via `list_purchase_orders`. We isolate every single request within an ephemeral V8 sandbox, meaning zero logs of your financial data persist after the API call completes.

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