How to Use the EIA Energy Outlook — Forecasts & Projections MCP in Vercel AI SDK

Q: How do I stream data from EIA Energy Outlook — Forecasts & Projections with the Vercel AI SDK?

Just pass the tools from this MCP server to the streamText or generateText functions. The AI SDK handles streaming the tool's JSON output directly into your UI hooks, perfect for real-time updates.

Q: What's the difference between getannualoutlook and getshorttermoutlook?

getshorttermoutlook gives you monthly price and supply projections for the next 18-24 months. getannualoutlook provides a much longer 30-year forecast for U.S. energy production, consumption, and prices.

Stream live U.S. energy forecasts from the EIA directly into your UI components with the Vercel AI SDK.

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Connect EIA Energy Outlook — Forecasts & Projections MCP to Vercel AI SDK

Create your Vinkius account to connect EIA Energy Outlook — Forecasts & Projections 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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Setup EIA Energy Outlook — Forecasts & Projections with Vercel AI SDK

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Stream Live Energy Price Forecasts

Use the `get_short_term_outlook` tool to pull 18-month energy price projections. With the Vercel AI SDK, this data doesn't just load; it streams directly into your React or Svelte components. Your users watch the forecast charts draw themselves in real time. Forget loading spinners. You can build dashboards that feel alive. When your agent calls the tool, the data appears on screen as it arrives, giving your users an immediate view of market projections from the official U.S. source.

Build Interactive 30-Year Outlooks

The `get_annual_outlook` tool gives you access to 30-year U.S. energy projections. Hook this up to your frontend and let users explore different scenarios. They can toggle between the reference case and side cases, and your UI will update instantly. Your AI client can fetch a new projection based on user input, and the AI SDK will stream the results right back into the interface. This makes complex data from the National Energy Modeling System (NEMS) feel tangible and easy to explore.

Map Global Energy Data with this MCP Server

The `get_international_data` and `get_international_outlook` tools let you pull country-level and global energy stats. You can feed this data into a map component, showing production or consumption figures for different regions. Imagine a user asking your agent, "Show me energy consumption in Europe." Your Vercel AI SDK-powered app can then stream that data from this MCP server, lighting up countries on a map as the information comes in. It's a direct line from the EIA's global database to your user's screen.

Setup guide

Set up EIA Energy Outlook — Forecasts & Projections 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all EIA Energy Outlook — Forecasts & Projections tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Energy Outlook — Forecasts & Projections transactions",
});

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

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Common questions about EIA Energy Outlook — Forecasts & Projections MCP in Vercel AI SDK

Just pass the tools from this MCP server to the `streamText` or `generateText` functions. The AI SDK handles streaming the tool's JSON output directly into your UI hooks, perfect for real-time updates.

Yes, it's a perfect match. You can call the tools from an Edge Function for speed and the results will stream into your React Server Components. Setup is just a few lines of code.

`get_short_term_outlook` gives you monthly price and supply projections for the next 18-24 months. `get_annual_outlook` provides a much longer 30-year forecast for U.S. energy production, consumption, and prices.

Vinkius gives you a single endpoint token. You pass this token in the HTTP transport configuration when you create the MCP client. The AI SDK handles the rest.

Yes. Your requests for energy forecast data are sent over an encrypted channel. The server runs in a zero-trust, ephemeral sandbox, and your Vinkius auth token isolates your session from everyone else.

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