How to Use the ChargeDesk MCP in Mastra AI

Q: How do I add ChargeDesk tools to my Mastra AI agent?

After installing @mastra/mcp, create a new MCPClient with your Vinkius server URL. Then, call mcpClient.listTools() and spread the result into your agent's tool configuration.

Q: Can Mastra AI handle a failed ChargeDesk refund?

Yes, that's what it's for. You can wrap the refundchargedeskpayment call in a workflow with automatic retries and custom failure logic, like sending an alert if the refund fails multiple times.

Q: Can I require human approval for certain ChargeDesk actions in Mastra AI?

Yes. Mastra AI supports requireToolApproval. You can configure your agent to require a person to sign off before it executes a sensitive tool like refundchargedeskpayment on a large amount.

Automate ChargeDesk billing workflows that don't break. Mastra AI handles retries and conditional logic for you.

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Connect ChargeDesk MCP to Mastra AI

Create your Vinkius account to connect ChargeDesk 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 ChargeDesk with Mastra AI

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Build Resilient Refund Workflows

Use the `refund_chargedesk_payment` tool inside a Mastra AI workflow. Mastra's engine lets you build in logic for what happens next. If the refund succeeds, great. If it fails, you can automatically retry. For example, you can define a workflow: try refunding. If a payment gateway is down, Mastra can wait and retry with exponential backoff. If it still fails after a few tries, it can send a notification to a human operator. This turns a simple API call into a reliable business process.

Conditional Customer Management

This MCP Server exposes tools to manage your customer data, like `get_customer_details` and `list_chargedesk_customers`. You can build a Mastra AI agent that checks customer status before taking action. It's not just about running a command; it's about running the right command at the right time. Imagine a workflow for handling overdue payments. First, use `get_customer_details` to check their history. If they're a long-time customer, send a polite reminder. If they have a history of failed payments, the workflow can automatically pause their active `list_chargedesk_subscriptions` and flag the account for review. Mastra handles the if/then logic.

Automate Billing Sanity Checks with Mastra AI

You can create automated agents that periodically check your billing health. A workflow could run daily, use `list_chargedesk_charges` to look for anomalies, and cross-reference it with active `list_chargedesk_subscriptions`. It's like having a robot on your finance team. Mastra makes this easy to deploy. You can write a workflow that uses `list_connected_gateways` to ensure all your payment processors are online. If one isn't responding, the agent can trigger an alert. You build it once, deploy it, and it just runs.

Setup guide

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

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

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

After installing `@mastra/mcp`, create a new `MCPClient` with your Vinkius server URL. Then, call `mcpClient.listTools()` and spread the result into your agent's tool configuration.

Yes, that's what it's for. You can wrap the `refund_chargedesk_payment` call in a workflow with automatic retries and custom failure logic, like sending an alert if the refund fails multiple times.

Mastra gives you a full workflow engine. You can build multi-step processes with conditional branching and error handling that a simple script can't match. It's for building reliable, automated billing operations, not just one-off tasks.

Yes. Mastra AI supports `requireToolApproval`. You can configure your agent to require a person to sign off before it executes a sensitive tool like `refund_chargedesk_payment` on a large amount.

Absolutely. All communication between your Mastra agent and the ChargeDesk MCP server is encrypted. The server itself is ephemeral, meaning the V8 Isolate running your tools is torn down after use, leaving no trace of the processed customer or charge data.

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