How to Use the UtilityAPI MCP in OpenAI Agents SDK

Q: How do I check my API usage costs with UtilityAPI using OpenAI Agents SDK?

You use getbillingsummaries to get a summary of your own account's billing periods and costs. This tracks how much you're spending on the UtilityAPI subscription itself.

Q: Can the OpenAI Agents SDK retrieve detailed time-series data using UtilityAPI?

Absolutely. The getintervals tool pulls granular usage data, showing 15-minute or hourly readings. This is ideal for demand response analysis and identifying peak usage patterns.

Q: How can I track customer access permissions with UtilityAPI using OpenAI Agents SDK?

Run listauthorizations to see every customer who has granted data access. You can filter this list by a referral code if you need to track test submissions or specific onboarding campaigns.

Q: If I build an agent with OpenAI Agents SDK, what is the process for new customers?

First, use createauthform to generate a unique form UID. Then, you redirect the customer using that ID so they can authorize data sharing before you proceed with any queries.

Utility data access, built for production agents with OpenAI Agents SDK.

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Connect UtilityAPI MCP to OpenAI Agents SDK

Create your Vinkius account to connect UtilityAPI 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 UtilityAPI with OpenAI Agents SDK

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List all authorized utility meters (MCP Server)

Need to know what service points are connected? Use `list_meters` to pull a list of every meter associated with the account. This gives you details like the utility name, service address, and the unique `meter_uid` you'll need for fetching usage data. Keep in mind that this tool lists all authorized connections. You can filter results by an authorization ID if you only care about a specific customer’s setup.

Create utility billing history with OpenAI Agents SDK

Don't just guess at usage costs; get the actual bills. `get_bills` returns full utility bills, including start/end dates and total cost in dollars. You must provide a meter UID to run this query. This lets you analyze customer spending on utilities directly. This tool helps you identify high-cost periods or track billing cycles for your client base.

Get detailed usage interval data (MCP Server)

For deep energy analysis, you need more than just monthly totals. `get_intervals` gives you granular consumption readings—think 15-minute or hourly usage values (kWh/therms). You just pass the meter UID and get time-series data. It's way better for building accurate energy models than relying on summarized billing periods.

Setup guide

Set up UtilityAPI 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 UtilityAPI tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate UtilityAPI 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="UtilityAPI Agent",
            instructions="You have access to UtilityAPI 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 UtilityAPI MCP in OpenAI Agents SDK

You use `get_billing_summaries` to get a summary of your own account's billing periods and costs. This tracks how much you're spending on the UtilityAPI subscription itself.

This server touches utility usage data, financial records (billing summaries and bills), meter identifiers (`meter_uid`), and customer authorization details. It's all about energy consumption tracking.

Absolutely. The `get_intervals` tool pulls granular usage data, showing 15-minute or hourly readings. This is ideal for demand response analysis and identifying peak usage patterns.

Run `list_authorizations` to see every customer who has granted data access. You can filter this list by a referral code if you need to track test submissions or specific onboarding campaigns.

First, use `create_auth_form` to generate a unique form UID. Then, you redirect the customer using that ID so they can authorize data sharing before you proceed with any queries.

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