How to Use the MoonClerk MCP in Mastra AI

Q: Can I trigger actions based on MoonClerk payment events?

You can build a recurring agent task that polls listpayments. It compares the latest results against your database to trigger alerts or updates.

Automate complex payment workflows in Mastra AI using this specialized MoonClerk MCP server.

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…and any MCP-compatible client

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Connect MoonClerk MCP to Mastra AI

Create your Vinkius account to connect MoonClerk 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 MoonClerk with Mastra AI

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Automated payment retries for Mastra AI

Build workflows that check `get_payment` status and trigger follow-up actions. If a payment is overdue, your Mastra agent can identify the customer and flag the account. This logic keeps your revenue operations running without manual oversight. You define the branching rules, and the agent executes them using the server tools.

Conditional customer management

Use `list_customers` to feed your agent a list of active subscribers. You can build a workflow that identifies inactive accounts and prepares a personalized outreach message. It removes the need for manual CSV exports. Your agent stays synced with your MoonClerk data at all times.

Coupon and form orchestration

Link `list_coupons` with your agent to auto-apply discounts during customer communication. The agent checks for valid codes before suggesting them to the user. This keeps your discount strategy consistent. The agent ensures only valid IDs are passed through your automated sequences.

Setup guide

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

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

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

You register the server URL in your agent configuration. Mastra then automatically detects the available tools and makes them ready for your workflow steps.

Yes. Enable tool approval in your agent settings to pause the workflow. You review the proposed payment action before the agent actually calls the MoonClerk tool.

You can configure automatic retries with backoff in your workflow definitions. If a tool call fails, the agent pauses and tries again based on your settings.

Your data remains local to your execution environment. The server only transmits the specific fields required to complete the tool call, ensuring no unnecessary exposure.

You can build a recurring agent task that polls `list_payments`. It compares the latest results against your database to trigger alerts or updates.

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