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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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();
* 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.
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_eventsandget_usage. - Customer Management — Create, list, and archive customers, or manage their billing configurations via
list_customersandcreate_customer. - Billing & Invoicing — Fetch, void, or regenerate invoices and track net balances with
list_invoicesandget_net_balance. - Contract Lifecycle — Create and edit contracts, manage rate cards, and track commits using
create_contractandlist_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 custom field key on Metronome
Create a custom field key
Add rate on Metronome
Add a rate to a rate card
Archive customer on Metronome
Voids invoices and archives contracts. Archive a customer
Create alert on Metronome
Create a threshold notification alert
Create billable metric on Metronome
Create a billable metric
Create commit on Metronome
Create a commit
Create contract on Metronome
Create a contract
Create customer on Metronome
Create a new customer
Create notification on Metronome
Create an offset lifecycle event notification
Create product on Metronome
Products can be USAGE, FIXED, COMPOSITE, or SUBSCRIPTION. Create a product
Create rate card on Metronome
Defines base prices for products. Create a rate card
Edit contract on Metronome
). Edit a contract
Get audit logs on Metronome
Get audit logs
Get customer on Metronome
Get a specific customer
Get invoice on Metronome
Get an invoice
Get net balance on Metronome
Get net balance
Get services on Metronome
Get services
Get usage on Metronome
Get batched usage data
Get usage groups on Metronome
Get usage data with paginated groupings
Ingest events on Metronome
Supports up to 100,000 events per second. Ingest usage events into Metronome
List balances on Metronome
List balances
List billable metrics on Metronome
List all billable metrics
List contracts on Metronome
List customer contracts
List credit types on Metronome
List pricing units
List customers on Metronome
Supports filtering. List all customers
List invoices on Metronome
List invoices
List products on Metronome
List products
Regenerate invoice on Metronome
Regenerate an invoice
Search events on Metronome
Designed for sampling-based testing. Search events by transaction ID
Set custom field values on Metronome
Set custom field values
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.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Metronome integration everywhere
Built-in streaming UI primitives let you display Metronome tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Metronome in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Metronome tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Metronome capabilities into conversational interfaces with streaming responses and tool call visibility
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.
"List all customers currently registered in Metronome."
"Show me the usage data for customer cust_821 for the last 30 days."
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpMetronome + Vercel AI SDK FAQ
Common questions about integrating Metronome MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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