How to Use the Togai (Usage Metering & Pricing) MCP in OpenAI Agents SDK

Q: What is the best way to list all accounts for Togai (Usage Metering & Pricing) when using OpenAI Agents SDK?

The listaccounts tool handles this. It provides a full roster of every account ID you need to manage or check entitlements against before running billing logic.

Q: Can I automate customer creation for Togai (Usage Metering & Pricing) using OpenAI Agents SDK?

Yes, your agent calls the createcustomer tool. This handles setting up a new paying entity in the system so you can start tracking their usage immediately.

Q: Does the MCP Server support bulk data ingestion for Togai (Usage Metering & Pricing) with OpenAI Agents SDK?

Absolutely. The ingestbatchevents tool allows your agent to send large groups of usage records at once, which is way faster than sending them one by one.

Handle metering and billing flows with OpenAI Agents SDK.

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Connect Togai (Usage Metering & Pricing) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Togai (Usage Metering & Pricing) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Togai (Usage Metering & Pricing) with OpenAI Agents SDK

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Manage Billing Cycles via MCP Server

Need to know what's owed? You can check current billing status by calling `list_invoices`. This gives you a clear view of all pending and past bills. Agents also track usage history using `get_metrics`, letting your agent pinpoint exactly where consumption happened. Agents maintain full visibility over the financial side of things. They can list available rate cards with `list_rate_cards` or check an account's current balance using `get_wallet_balance`. This makes billing logic predictable for your OpenAI Agents SDK system.

Process Usage Events for Your AI Client

When something happens, you need to record it. The agent can ingest a single event with `ingest_event`, which requires specific details like the schema name and timestamp. For bulk processing, use `ingest_batch_events` to handle large volumes of usage data efficiently. This process keeps your billing accurate. You'll want to ensure every incoming event object includes the necessary account ID and dimensions so you can correctly attribute costs. This is crucial for making sure your AI client doesn't miscount anything.

Control Customer Accounts with OpenAI Agents SDK

Your agent needs to manage who's paying. You can list all existing accounts using `list_accounts` or create new ones via `create_account`. Updates are simple too; use `update_account` when a customer changes their details. The system also lets you check if a specific feature is allowed by calling `check_entitlement`. If the account needs more money, your agent can even call `grant_credit` to keep things moving.

Setup guide

Set up Togai (Usage Metering & Pricing) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Togai (Usage Metering & Pricing) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Togai (Usage Metering & Pricing) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Togai (Usage Metering & Pricing) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Togai (Usage Metering & Pricing) Agent",
            instructions="You have access to Togai (Usage Metering & Pricing) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Togai (Usage Metering & Pricing) MCP in OpenAI Agents SDK

You use the MCP Server's tools to manage billing. To track consumption, call `get_metrics` or ingest raw data using `ingest_event`. This gives your agent a real-time view of usage against established rate cards.

The `list_accounts` tool handles this. It provides a full roster of every account ID you need to manage or check entitlements against before running billing logic.

Yes, your agent calls the `create_customer` tool. This handles setting up a new paying entity in the system so you can start tracking their usage immediately.

Absolutely. The `ingest_batch_events` tool allows your agent to send large groups of usage records at once, which is way faster than sending them one by one.

It primarily touches account and customer billing data. Specifically, it handles usage events, rate cards, wallet balances, and invoice records.

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