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Metronome MCP Server for Mastra AIGive Mastra AI instant access to 31 tools to Add Custom Field Key, Add Rate, Archive Customer, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Metronome through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Metronome MCP Server for Mastra AI is a standout in the Data Management category — giving your AI agent 31 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "metronome": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Metronome Agent",
    instructions:
      "You help users interact with Metronome " +
      "using 31 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Metronome?"
  );
  console.log(result.text);
}

main();
Metronome
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Metronome MCP Server

Connect your Metronome account to any AI agent to streamline your usage-based billing and revenue operations through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Metronome tool infrastructure. Connect 31 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Usage Ingestion & Querying — Send usage events and retrieve aggregated usage data across customers and metrics using ingest_events and get_usage.
  • Customer Management — Create, list, and archive customers, or manage their billing configurations via list_customers and create_customer.
  • Billing & Invoicing — Fetch, void, or regenerate invoices and track net balances with list_invoices and get_net_balance.
  • Contract Lifecycle — Create and edit contracts, manage rate cards, and track commits using create_contract and list_contracts.
  • Alerts & Monitoring — Set up notifications, alerts, and access audit logs for billing transparency.

The Metronome MCP Server exposes 31 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 31 Metronome tools available for Mastra AI

When Mastra AI connects to Metronome through Vinkius, your AI agent gets direct access to every tool listed below — spanning usage-based-billing, revenue-operations, metering, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add custom field key on Metronome

Create a custom field key

add

Add rate on Metronome

Add a rate to a rate card

archive

Archive customer on Metronome

Voids invoices and archives contracts. Archive a customer

create

Create alert on Metronome

Create a threshold notification alert

create

Create billable metric on Metronome

Create a billable metric

create

Create commit on Metronome

Create a commit

create

Create contract on Metronome

Create a contract

create

Create customer on Metronome

Create a new customer

create

Create notification on Metronome

Create an offset lifecycle event notification

create

Create product on Metronome

Products can be USAGE, FIXED, COMPOSITE, or SUBSCRIPTION. Create a product

create

Create rate card on Metronome

Defines base prices for products. Create a rate card

edit

Edit contract on Metronome

). Edit a contract

get

Get audit logs on Metronome

Get audit logs

get

Get customer on Metronome

Get a specific customer

get

Get invoice on Metronome

Get an invoice

get

Get net balance on Metronome

Get net balance

get

Get services on Metronome

Get services

get

Get usage on Metronome

Get batched usage data

get

Get usage groups on Metronome

Get usage data with paginated groupings

ingest

Ingest events on Metronome

Supports up to 100,000 events per second. Ingest usage events into Metronome

list

List balances on Metronome

List balances

list

List billable metrics on Metronome

List all billable metrics

list

List contracts on Metronome

List customer contracts

list

List credit types on Metronome

List pricing units

list

List customers on Metronome

Supports filtering. List all customers

list

List invoices on Metronome

List invoices

list

List products on Metronome

List products

regenerate

Regenerate invoice on Metronome

Regenerate an invoice

search

Search events on Metronome

Designed for sampling-based testing. Search events by transaction ID

set

Set custom field values on Metronome

Set custom field values

void

Void invoice on Metronome

Void an invoice

Connect Metronome to Mastra AI via MCP

Follow these steps to wire Metronome into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 31 tools from Metronome via MCP

Why Use Mastra AI with the Metronome MCP Server

Mastra AI provides unique advantages when paired with Metronome through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Metronome without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Metronome tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Metronome + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Metronome MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Metronome, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Metronome as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Metronome on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Metronome tools alongside other MCP servers

Example Prompts for Metronome in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Metronome immediately.

01

"List all customers currently registered in Metronome."

02

"Show me the usage data for customer cust_821 for the last 30 days."

03

"Retrieve the details and status for invoice inv_556677."

Troubleshooting Metronome MCP Server with Mastra AI

Common issues when connecting Metronome to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Metronome + Mastra AI FAQ

Common questions about integrating Metronome MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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