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

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Metronome through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Metronome MCP Server for OpenAI Agents 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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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Metronome Assistant",
            instructions=(
                "You help users interact with Metronome. "
                "You have access to 31 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Metronome"
        )
        print(result.final_output)

asyncio.run(main())
Metronome
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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.

The OpenAI Agents SDK auto-discovers all 31 tools from Metronome through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Metronome, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 31 tools from Metronome

Why Use OpenAI Agents SDK with the Metronome MCP Server

OpenAI Agents SDK provides unique advantages when paired with Metronome through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Metronome + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Metronome MCP Server delivers measurable value.

01

Automated workflows: build agents that query Metronome, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Metronome, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Metronome tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Metronome to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Metronome in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Metronome to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Metronome + OpenAI Agents SDK FAQ

Common questions about integrating Metronome MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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