How to Use the Metronome MCP in Mastra AI

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

Yes, use requireToolApproval for sensitive operations. Your agent will pause before executing voidinvoice until you say go.

Automate complex billing workflows with the Metronome MCP server and Mastra AI to handle contract failures and retries automatically.

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Connect Metronome MCP to Mastra AI

Create your Vinkius account to connect Metronome 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 Metronome with Mastra AI

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Perplexity

Automated billing recovery

Build agents that monitor for invoice errors using `list_invoices`. If a payment fails, your agent can immediately call `void_invoice` to stop the clock. This logic keeps your books clean. You define the branching conditions in Mastra, ensuring every edge case gets a specific response.

Contract lifecycle automation

Trigger `create_contract` based on complex logic gates. Your agent evaluates if a customer is ready for an upgrade and applies new terms automatically. You can chain this with `add_rate` to customize pricing for specific segments. It’s a hands-off approach to managing growing customer lists.

Audit trail management

Use `get_audit_logs` to feed your agent historical data for compliance checks. Your workflow can flag anomalies before they become billing issues. Mastra manages the retries if the network blips. You get a reliable pipeline that keeps your financial records consistent.

Setup guide

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

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

const result = await agent.generate(
  "List recent Metronome transactions"
);
console.log(result.text);

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Common questions about Metronome MCP in Mastra AI

Add the server URL to your agent configuration. Mastra handles the transport and tool mapping automatically once the client is initialized.

Yes, use `requireToolApproval` for sensitive operations. Your agent will pause before executing `void_invoice` until you say go.

Absolutely. Mastra’s workflow engine includes built-in exponential backoff. If an API call fails, the agent will try again based on your rules.

Yes. You can script conditional paths where the agent checks `get_net_balance` and decides whether to trigger a new contract or notification.

Your customer usage and billing records stay within the Vinkius isolated sandbox. No data is stored on the agent itself.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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