How to Use the ChargeOver MCP in Mastra AI

Q: How do I configure the ChargeOver MCP Server in Mastra AI?

Install @mastra/mcp and instantiate a new MCPClient with your Vinkius URL. Call mcpClient.listTools() to extract the available operations. Spread those tools directly into your Agent configuration object.

Q: Does Mastra AI support human approval for ChargeOver actions?

You can flag specific financial reads by setting requireToolApproval to true. The workflow halts before executing the tool. An administrator must approve the request before the agent continues processing the billing data.

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Setup ChargeOver with Mastra AI

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Automate ChargeOver Transaction Checks

The `list_billing_transactions` tool checks your ledger for recent payment events. Mastra AI uses this endpoint to build conditional workflows that react to payment failures. If a transaction declines, your agent catches the error and triggers a retry sequence with exponential backoff. Adding `get_chargeover_account` to the workflow pulls the core user profile before the retry happens. You define the exact routing logic in TypeScript, ensuring the system handles API rate limits without dropping the operation.

Human-in-the-Loop Invoice Management

Calling `list_chargeover_invoices` pulls pending bills into your Mastra AI workflow. You can enforce manual review by enabling `requireToolApproval` on this specific operation. The workflow pauses execution until an administrator signs off on the data read. Retrieving specific line items requires the `get_invoice_details` tool. Once approved, the agent processes the amounts and routes the data to your notification system.

Mastra AI MCP Server Setup

Accessing client records involves the `list_chargeover_customers` tool. You connect this MCP Server by passing the Vinkius URL into the `MCPClient` constructor. Mastra AI automatically detects the Streamable HTTP transport and registers the operations. The `list_billing_quotes` endpoint fetches active sales proposals. Your agent spreads these tools into its configuration array, ready to deploy to any cloud provider with a single command.

Setup guide

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

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

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

Install `@mastra/mcp` and instantiate a new `MCPClient` with your Vinkius URL. Call `mcpClient.listTools()` to extract the available operations. Spread those tools directly into your Agent configuration object.

The framework includes built-in exponential backoff for all tool calls. If a request for `get_invoice_details` times out, the workflow engine automatically attempts the fetch again. You control the retry limits in your agent setup.

You can flag specific financial reads by setting `requireToolApproval` to true. The workflow halts before executing the tool. An administrator must approve the request before the agent continues processing the billing data.

The framework auto-detects the correct transport method from the Vinkius endpoint. It defaults to Streamable HTTP for these serverless connections. You do not need to configure the protocol manually.

Customer names, addresses, and subscription IDs remain isolated within a zero-trust V8 environment. The execution context destroys itself the millisecond the workflow completes. Your agent connects using a single, scoped endpoint token rather than raw API keys.

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