How to Use the UtilityAPI MCP in Mastra AI

Q: How can Mastra AI reliably get utility billing history from UtilityAPI?

Use the getbills tool. It requires you to provide one or more specific meter IDs that have already been authorized. The output gives you clear financial summaries, including total cost and usage.

Q: What is the best way for Mastra AI to monitor data access status?

The getevents tool tracks everything—from a new authorization being created to a successful data collection completion. This lets your workflow branch or retry if an issue occurs.

Q: When setting up a test flow with Mastra AI, what should I use?

Use testformsubmission. It returns a referral code that you can immediately pass to listauthorizations to verify your entire pipeline works correctly without touching live data.

Q: Can UtilityAPI help Mastra AI analyze historical usage patterns?

Absolutely. The getintervals tool delivers detailed consumption data (hourly or 15-min) for a given meter ID, letting your agent build accurate energy models.

Build complex utility pipelines that handle failures reliably using Mastra AI.

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Setup UtilityAPI with Mastra AI

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Run end-to-end energy analysis with Mastra AI

To build a reliable workflow, use `get_meter_data`. This tool pulls everything—the bill summary and the granular time-series data—in one go. It's perfect for multi-step processes that need complete context. Your agent doesn't stop when it hits missing data; it gets the full financial (costs) and technical (usage) view of a single meter.

Setup complex authorization flows with the MCP Server

The `create_auth_form` tool lets you initiate a controlled data sharing agreement. You simply define the utility code and set an optional scenario like 'residential' or 'commercial'. This sets up your entire multi-step process for new customers. Developers can also check template configurations with `get_form_templates` to ensure their required inputs are available before building the final form.

Backfill historical utility data using Mastra AI

If a customer authorizes access but you know history is missing, run `activate_historical_collection`. You supply an array of meter IDs and tell the system to start pulling every available record. This handles initial gaps in your workflow. This process runs asynchronously; monitor status changes using `get_events` to confirm when the data collection cycle finishes.

Setup guide

Set up UtilityAPI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All UtilityAPI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "utilityapi-mcp-client",
  servers: {
    "utilityapi-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "UtilityAPI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to UtilityAPI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent UtilityAPI transactions"
);
console.log(result.text);

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Common questions about UtilityAPI MCP in Mastra AI

Use the `get_bills` tool. It requires you to provide one or more specific meter IDs that have already been authorized. The output gives you clear financial summaries, including total cost and usage.

The `get_events` tool tracks everything—from a new authorization being created to a successful data collection completion. This lets your workflow branch or retry if an issue occurs.

Use `test_form_submission`. It returns a referral code that you can immediately pass to `list_authorizations` to verify your entire pipeline works correctly without touching live data.

Absolutely. The `get_intervals` tool delivers detailed consumption data (hourly or 15-min) for a given meter ID, letting your agent build accurate energy models.

The server handles customer usage data and associated billing history. When designing workflows with Mastra AI, you'll be dealing with sensitive meter IDs and consumption rates.

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