How to Use the NREL Energy Data MCP in Mastra AI

Q: How do I check if solar data is available for a specific ZIP code?

Have your agent call getsolardataquery with the target coordinates. The tool returns a list of available years and formats so your workflow knows what to expect.

Build autonomous energy workflows using Mastra AI to process NREL data with automatic retries.

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Connect NREL Energy Data MCP to Mastra AI

Create your Vinkius account to connect NREL Energy Data to Mastra AI 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 NREL Energy Data with Mastra AI

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Automate Station Discovery via Mastra AI

Querying nearby fuel infrastructure begins with `get_nearest_stations` to locate charging nodes within a tight radius. Mastra workflows handle the API calls and automatically retry if the network hiccups. If a station matches your criteria, the workflow fires `get_station_details` to pull technical specs. This MCP server handles the dirty work of connecting to NREL so your agents can focus on logic.

Evaluate Geothermal Potential Automatically

Checking subsurface energy viability relies on `get_geothermal_resource` to pull regional temperature and depth metrics. Your workflow can branch based on these results, routing high-potential sites to an analysis queue. Because Mastra handles conditional logic natively, you can design workflows that halt if temperatures fall below your threshold. No manual intervention is needed to filter out bad sites.

Match Infrastructure with Local Incentives

Finding tax breaks and rebates uses `list_transportation_incentives` to scan state-level programs. Your agent parses this list to match specific station types with active financial benefits. Combining this tool with local pricing data gives you a clear picture of project payback periods. Our MCP pipeline transforms raw government databases into structured financial models.

Setup guide

Set up NREL Energy Data 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 NREL Energy Data 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: "nrel-energy-data-mcp-client",
  servers: {
    "nrel-energy-data-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NREL. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about NREL Energy Data MCP in Mastra AI

Use the Mastra MCP client to connect to the Vinkius endpoint. Spread the registered tools directly into your agent's tool configuration array to give them instant access.

Absolutely. Mastra features built-in exponential backoff, meaning failed calls to tools like `get_utility_rates` are retried automatically before throwing an error.

Yes, you can configure Mastra to require manual confirmation before executing specific tools. This is ideal for sensitive operations like pulling large datasets or calculating complex solar estimates.

Have your agent call `get_solar_data_query` with the target coordinates. The tool returns a list of available years and formats so your workflow knows what to expect.

All utility queries, ZIP codes, and consumption metrics are processed in ephemeral MCP sandboxes. Vinkius never retains your inputs, ensuring your operational energy data remains private.

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