How to Use the Simple Fatoora MCP in Mastra AI

Q: How does Simple Fatoora handle VAT invoices with Mastra AI?

Mastra AI can build a multi-step process around createvatinvoice. If the generated invoice fails validation, it retries the call, possibly adjusting tax parameters as per your workflow logic.

Q: What if I need to list all clients for Simple Fatoora using Mastra AI?

You simply trigger a task that calls listclients. The agent receives the full array of client IDs and can then use these IDs to check details or delete records as needed.

Q: Can I get invoice history with Simple Fatoora using Mastra AI?

Yes, you call listinvoices first. The agent receives the list of invoice IDs and can then systematically check specific details or pass them to a review step.

Q: Does deleting a client work reliably with Simple Fatoora using Mastra AI?

The deleteclient tool handles this. You feed it the ID, and the system confirms the removal of the client record from the database. It’s a reliable step in decommissioning accounts.

Build resilient invoicing workflows for Simple Fatoora with Mastra AI's failure handling.

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Setup Simple Fatoora with Mastra AI

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Automate Complex VAT Invoice Generation

The `create_vat_invoice` tool handles the full B2B workflow. You feed it a JSON string of items, and it outputs an invoice that is compliant with ZATCA standards, complete with tax calculations and QR code embedding. If the first attempt fails due to missing data, your Mastra AI agent can automatically retry the call using different source data or escalating to a manual approval step.

Maintain Client Data Integrity

When dealing with client records, use `get_client` and `update_client`. The agent flow can first verify a client's existence (`get_client`), then update their tax status if it changes. This sequential logic prevents failed transactions. If the system detects an outdated record during the workflow, the process stops gracefully, alerting you to fix the data source.

Process Simple B2C Invoices in Steps

Start by calling `list_items` to confirm all product codes are active. Then, use `create_simplified_invoice`, passing the necessary JSON items. The agent can monitor this entire sequence. This ensures that if item data is suddenly unavailable, the workflow flags it before attempting to generate an incomplete invoice.

Setup guide

Set up Simple Fatoora 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 Simple Fatoora 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: "simple-fatoora-mcp-client",
  servers: {
    "simple-fatoora-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Simple Fatoora 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 Simple Fatoora. 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 Simple Fatoora MCP in Mastra AI

Mastra AI can build a multi-step process around `create_vat_invoice`. If the generated invoice fails validation, it retries the call, possibly adjusting tax parameters as per your workflow logic.

You simply trigger a task that calls `list_clients`. The agent receives the full array of client IDs and can then use these IDs to check details or delete records as needed.

Yes, you call `list_invoices` first. The agent receives the list of invoice IDs and can then systematically check specific details or pass them to a review step.

The `delete_client` tool handles this. You feed it the ID, and the system confirms the removal of the client record from the database. It’s a reliable step in decommissioning accounts.

The server handles transactional financial records: Invoice IDs, Client Records, Item SKUs, and the specific tax rates applied during invoice creation. It's all structured business data.

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