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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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_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 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 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 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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Metronome, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Metronome, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Metronome tools and transform it with OpenAI models in a single async loop
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.
"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 OpenAI Agents SDK
Common issues when connecting Metronome to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Metronome + OpenAI Agents SDK FAQ
Common questions about integrating Metronome MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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