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

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Metronome through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Metronome MCP Server for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

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

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Metronome, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Metronome MCP Server

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

The Vercel AI SDK gives every Metronome tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 31 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

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

Explore tools

The SDK discovers 31 tools from Metronome and passes them to the LLM

Why Use Vercel AI SDK with the Metronome MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Metronome integration everywhere

03

Built-in streaming UI primitives let you display Metronome tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Metronome + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Metronome in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Metronome tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Metronome capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Metronome through natural language queries

Example Prompts for Metronome in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Metronome + Vercel AI SDK FAQ

Common questions about integrating Metronome MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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