How to Use the Chargeblast MCP in Mastra AI

Automate chargeback responses and build resilient dispute workflows for Chargeblast with Mastra AI.

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Connect Chargeblast MCP to Mastra AI

Create your Vinkius account to connect Chargeblast 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 Chargeblast with Mastra AI

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Build Conditional Dispute Workflows

Use Mastra AI to automate how you handle chargebacks. A workflow can start when `list_dispute_alerts` finds a new item. From there, use Mastra's logic engine to check the dispute amount or reason code from `get_dispute_alert_details`. If the dispute is below a certain threshold, the workflow can automatically call `request_dispute_credit`. If it's a high-value dispute, it can update the status with `update_alert_status` to 'needs_review' and notify a human. Mastra handles the branching logic for you.

Sync Order Data Automatically

Chargeblast's chargeback deflection works best with fresh order data. You can build a simple Mastra AI workflow that runs on a schedule. The job wakes up, calls `list_uploaded_orders` to see the last sync time, and then uses `upload_order_data` to push any new sales. This ensures your deflection coverage is always current without any manual work. Mastra's built-in retry logic also means that if an upload fails, it will try again automatically, making your data pipeline more reliable.

Audit Deflection Performance with a Mastra Agent

You need to know if your prevention tools are working. A Mastra agent can run `list_deflection_logs` daily, parse the results, and generate a summary report. It can even cross-reference merchant info using `list_enrolled_merchants`. The agent can then send this report to a Slack channel or email address. This turns raw log data from the MCP Server into a daily business intelligence summary, all defined in a single workflow file.

Setup guide

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

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

const result = await agent.generate(
  "List recent Chargeblast 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 Chargeblast. 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.

Why Choose Vinkius

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Common questions about Chargeblast MCP in Mastra AI

You install the Mastra MCP package and configure the client in your agent's code. Just provide your Vinkius URL for the Chargeblast server. Mastra will automatically detect the available tools like `get_dispute_alert_details` and make them available to your workflows.

Yes, absolutely. You can create a workflow triggered by a webhook or a schedule. The first step would be to call `list_dispute_alerts`. Then, you can loop through the new alerts and use other Chargeblast tools to process each one based on your own business logic.

Mastra AI is built for this. Its workflow engine has automatic retries with exponential backoff. If a call to a tool like `upload_order_data` fails, Mastra will wait and try again, preventing your workflow from failing due to temporary network issues.

Yes. Mastra supports human-in-the-loop actions. For a high-value dispute, your workflow can use the `requireToolApproval` setting. The agent will pause and wait for confirmation before it proceeds to call a tool like `request_dispute_credit`.

The MCP Server holds your Chargeblast credentials, so they are never stored in your Mastra AI project. Your workflows interact with named tools, not raw APIs. This isolates access to specific functions like reading dispute alerts or uploading order data, and prevents your agent code from ever touching the actual API keys.

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