How to Use the Dola Checkout MCP in Mastra AI

Q: How do I add Dola Checkout MCP server tools to a Mastra AI agent?

Initialize the MCPClient with the server's HTTP URL, call listTools(), and spread them into your agent's tool configuration. The Mastra AI framework automatically parses the schemas for createcheckout and other tools.

Q: Can Mastra AI handle human approval for Dola Checkout actions?

Yes, you can set requireToolApproval on sensitive tools like updateorder or createwebhook. This halts the Mastra AI workflow and waits for a manual confirmation before executing the payment state change.

Q: How do I handle failed payment checkouts in a Mastra AI workflow?

Use Mastra's native conditional branching on the result of createcheckout. If the tool returns an error, the workflow executes a fallback branch to notify the merchant or retry the session generation.

Run autonomous billing workflows with Mastra AI and handle subscription logic with native retries.

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Connect Dola Checkout MCP to Mastra AI

Create your Vinkius account to connect Dola Checkout 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 Dola Checkout with Mastra AI

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Resilient Webhook Handling

The `create_webhook` and `list_webhooks` tools let your agents programmatically register payment event listeners during runtime. Your Mastra AI agent configures these listeners to catch failed charges and trigger instant recovery workflows. Mastra's workflow engine manages the retry logic if a webhook fails to register. If the payment gateway drops a packet, the agent automatically retries the tool call with exponential backoff.

Conditional Order Updates with Mastra AI

The `update_order` and `get_order` tools execute state transitions based on complex payment conditions you define in your agent workflows. If an order status changes to pending, the agent branches the execution path to verify the customer profile before finalizing. You build these decision trees directly in TypeScript. The framework handles the state machine, while the Dola Checkout MCP server supplies the live order updates to keep the workflow moving.

Automated Customer Onboarding Flows

The `create_checkout` and `create_order` tools trigger whenever a new user finishes your onboarding sequence. Your Mastra AI agent generates the payment session, checks the customer's account profile, and queues up the initial billing cycle. This automation runs headless on any cloud. You deploy the entire agentic pipeline with a single command, leaving the checkout creation to run autonomously in the background.

Setup guide

Set up Dola Checkout 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 Dola Checkout 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: "dola-checkout-mcp-client",
  servers: {
    "dola-checkout-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Dola Checkout 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 Dola Checkout. 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 Dola Checkout MCP in Mastra AI

Initialize the `MCPClient` with the server's HTTP URL, call `listTools()`, and spread them into your agent's tool configuration. The Mastra AI framework automatically parses the schemas for `create_checkout` and other tools.

Yes, you can set `requireToolApproval` on sensitive tools like `update_order` or `create_webhook`. This halts the Mastra AI workflow and waits for a manual confirmation before executing the payment state change.

Use Mastra's native conditional branching on the result of `create_checkout`. If the tool returns an error, the workflow executes a fallback branch to notify the merchant or retry the session generation.

Yes. The MCP client automatically detects whether the server uses Streamable HTTP or Server-Sent Events, keeping your agent connected without manual transport configuration.

Mastra AI communicates with the server inside an ephemeral, zero-trust sandbox. Your webhook URLs and order details are processed in memory and never stored, keeping your transactional data isolated from third-party logs.

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