How to Use the Treinta App MCP in Mastra AI

Q: How does Mastra AI handle creating transactions with Treinta App?

Mastra AI uses createtransaction and manages the process end-to-end. If a payment fails, it automatically retries using different methods, handling failure gracefully so you don't lose business data.

Q: Can Mastra AI list all products from Treinta App?

Yes, the framework executes listproducts and manages the results. It treats this as a critical step in a larger workflow, ensuring you always get a complete inventory snapshot when needed.

Q: What if I need to review sales data using Treinta App with Mastra AI?

You'd use listsales. Because the MCP Server is part of Mastra AI, it treats this as a required step in your workflow. If listing fails, it can trigger an alert and retry automatically.

Q: What data does Treinta App touch regarding privacy?

This server touches client debt profiles through getclient. Mastra AI's built-in workflow engine handles the calls to this tool, making sure data access follows predefined, reliable steps.

Q: Does Treinta App allow deleting transactions with Mastra AI?

Yes. You use deletetransaction. The framework supports requireToolApproval, meaning you can build a workflow that demands human sign-off before running this irreversible action.

Build reliable e-commerce workflows with Mastra AI and Treinta App.

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Connect Treinta App MCP to Mastra AI

Create your Vinkius account to connect Treinta App 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 Treinta App with Mastra AI

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Process Transactions Reliably

`create_transaction` handles creating a new business transaction, even if the first attempt fails. The built-in workflow engine automatically retries the operation using different methods until it succeeds. If you're dealing with complex financial processes, this auto-retry logic is critical. It ensures that transactions are recorded correctly without manual intervention after a failure.

Maintain Inventory Consistency

You can use `update_product_stock` to adjust physical quantities of an item. If the stock system is temporarily down, Mastra AI waits and retries updating the count until it succeeds. This reliability is key when running multi-step workflows. It guarantees that the product inventory numbers remain accurate even if external services hiccup.

Manage Client Records Safely

`create_client` registers a new customer, and the framework ensures this happens correctly. If the initial client registration fails validation, Mastra AI can execute conditional branching to notify an admin first. You also use `delete_transaction`. This tool is protected by workflow logic, ensuring that reverting a transaction only happens after human approval if required.

Setup guide

Set up Treinta App 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 Treinta App 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: "treinta-app-mcp-client",
  servers: {
    "treinta-app-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Treinta App 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 Treinta App. 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 Treinta App MCP in Mastra AI

Mastra AI uses `create_transaction` and manages the process end-to-end. If a payment fails, it automatically retries using different methods, handling failure gracefully so you don't lose business data.

Yes, the framework executes `list_products` and manages the results. It treats this as a critical step in a larger workflow, ensuring you always get a complete inventory snapshot when needed.

You'd use `list_sales`. Because the MCP Server is part of Mastra AI, it treats this as a required step in your workflow. If listing fails, it can trigger an alert and retry automatically.

This server touches client debt profiles through `get_client`. Mastra AI's built-in workflow engine handles the calls to this tool, making sure data access follows predefined, reliable steps.

Yes. You use `delete_transaction`. The framework supports `requireToolApproval`, meaning you can build a workflow that demands human sign-off before running this irreversible action.

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