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How to Use the EIA Full Access — U.S. Energy Intelligence MCP in Vercel AI SDK

Build React dashboards that stream federal energy metrics in real time using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect EIA Full Access — U.S. Energy Intelligence MCP to Vercel AI SDK

Create your Vinkius account to connect EIA Full Access — U.S. Energy Intelligence to Vercel AI 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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Render Grid Metrics Instantly

`get_grid_demand` and `get_plant_generation` pull live power data straight into your Next.js frontend. The Vercel AI SDK streams the raw JSON response directly to the client, rendering charts before the EIA API finishes the full request. You skip the loading states entirely. When users ask for Texas grid load versus nuclear output via `get_nuclear_outages`, the numbers populate the UI instantly.

Feed the Vercel AI SDK MCP Server Gas Prices

`get_natgas_prices` and `get_natgas_storage` fetch Henry Hub spot prices and underground inventory levels. Your frontend components render the weekly storage report numbers the second they hit the wire. Traders don't wait for batch updates. Developers pipe `get_short_term_outlook` projections into a Svelte or Vue interface, letting users interact with 18-month supply forecasts without page reloads.

Map Domestic Oil Movements

`get_crude_imports` and `get_refinery_operations` expose the exact barrel counts hitting domestic ports. Developers map this data into interactive UI widgets that update as the agent parses the response. Edge functions handle the routing. You build a dashboard tracking `get_petroleum_stocks`, and the AI client formats the commercial reserve figures into a clean table while the user watches.

Setup guide

Set up EIA Full Access — U.S. Energy Intelligence MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all EIA Full Access — U.S. Energy Intelligence tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent EIA Full Access — U.S. Energy Intelligence transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EIA. 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 EIA Full Access — U.S. Energy Intelligence MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and call `createMCPClient`. Pass the Vinkius endpoint URL to the HTTP transport layer. Call `mcpClient.tools()` to expose the 34 endpoints to `streamText` or `generateText`.
Yes. The SDK streams the tool execution results directly to your React or Next.js frontend. You map the arrays from `get_state_energy_data` to your charting library as the chunks arrive.
The Vinkius MCP server responds in milliseconds, but the federal API dictates the final payload speed. Streaming the response masks this delay. Users see data populating immediately.
No. Vinkius handles the EIA authentication. You provide a single endpoint token to your MCP setup.
The server processes requests for public federal datasets like `get_generator_inventory` and `get_coal_prices`. Vinkius isolates your queries in a V8 sandbox that destroys itself after execution. No query parameters or returned barrel counts touch persistent storage.

Start using the EIA Full Access — U.S. Energy Intelligence MCP today

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Built & Managed by Vinkius 30s setup 34 tools

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