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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up EIA Full Access — U.S. Energy Intelligence MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Full Access — U.S. Energy Intelligence tools. Pass them directly togenerateText()orstreamText()— 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.
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
Use it with your favorite AI tools
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Start using the EIA Full Access — U.S. Energy Intelligence MCP today
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