EIA Energy Outlook — Forecasts & Projections MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EIA Energy Outlook — Forecasts & Projections through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using EIA Energy Outlook — Forecasts & Projections, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About EIA Energy Outlook — Forecasts & Projections MCP Server
Forward-looking energy intelligence from the world's most respected energy agency.
The Vercel AI SDK gives every EIA Energy Outlook — Forecasts & Projections tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- STEO — Short-Term Energy Outlook: 18-month price, production, and consumption projections (updated monthly)
- AEO — Annual Energy Outlook: 30-year U.S. energy projections with reference/side cases
- IEO — International Energy Outlook: world energy projections by region and fuel
- International Data — Country-level production, consumption, trade, and emissions
The EIA Energy Outlook — Forecasts & Projections MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect EIA Energy Outlook — Forecasts & Projections to Vercel AI SDK via MCP
Follow these steps to integrate the EIA Energy Outlook — Forecasts & Projections MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 4 tools from EIA Energy Outlook — Forecasts & Projections and passes them to the LLM
Why Use Vercel AI SDK with the EIA Energy Outlook — Forecasts & Projections MCP Server
Vercel AI SDK provides unique advantages when paired with EIA Energy Outlook — Forecasts & Projections through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same EIA Energy Outlook — Forecasts & Projections integration everywhere
Built-in streaming UI primitives let you display EIA Energy Outlook — Forecasts & Projections tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
EIA Energy Outlook — Forecasts & Projections + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EIA Energy Outlook — Forecasts & Projections MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EIA Energy Outlook — Forecasts & Projections in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EIA Energy Outlook — Forecasts & Projections tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EIA Energy Outlook — Forecasts & Projections capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EIA Energy Outlook — Forecasts & Projections through natural language queries
EIA Energy Outlook — Forecasts & Projections MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect EIA Energy Outlook — Forecasts & Projections to Vercel AI SDK via MCP:
get_annual_outlook
S. energy production, consumption, prices, and emissions using the National Energy Modeling System (NEMS). Includes reference case and side cases. Get AEO: 30-year U.S. energy projections
get_international_data
Get country-level energy production, consumption, and emissions
get_international_outlook
Covers global production, consumption, and emissions by region and fuel. Get IEO: international energy projections
get_short_term_outlook
Published monthly by EIA. Data range: 1974 to 2027. Get STEO: 18-month U.S. energy price and supply projections
Example Prompts for EIA Energy Outlook — Forecasts & Projections in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EIA Energy Outlook — Forecasts & Projections immediately.
"What does EIA forecast for oil prices next year?"
"How does EIA project U.S. energy mix in 2050?"
"Compare energy consumption between China and India"
Troubleshooting EIA Energy Outlook — Forecasts & Projections MCP Server with Vercel AI SDK
Common issues when connecting EIA Energy Outlook — Forecasts & Projections to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEIA Energy Outlook — Forecasts & Projections + Vercel AI SDK FAQ
Common questions about integrating EIA Energy Outlook — Forecasts & Projections MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect EIA Energy Outlook — Forecasts & Projections with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect EIA Energy Outlook — Forecasts & Projections to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
