How to Use the GridStatus MCP in Vercel AI SDK

Q: Can GridStatus provide real-time LMP data for my Vercel AI SDK project?

Yes. You just call the getrealtimelmp tool with the appropriate ISO identifier. It returns the latest 5-minute pricing data directly to your client.

Q: Does GridStatus support historical load queries for Vercel AI SDK dashboards?

It does. You can use getloaddata or querydataset to retrieve historical consumption metrics. These results are formatted for immediate display in your front-end components.

Stream raw grid data directly into your Vercel AI SDK frontends for real-time energy dashboards.

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Connect GridStatus MCP to Vercel AI SDK

Create your Vinkius account to connect GridStatus 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 GridStatus with Vercel AI SDK

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Real-time pricing for Vercel AI SDK

Feed live wholesale electricity prices into your UI. Use `get_realtime_lmp` to fetch 5-minute interval data and push it straight to your state management layer. Your users see price spikes as they happen. You skip the backend polling logic because the MCP server handles the connection to the grid operators.

Standardized energy data pipelines

Normalize fragmented ISO data using `get_standardized_data` within your next.js components. You get a consistent schema across regions without writing custom adapters for every grid. This keeps your codebase clean. You spend less time mapping API responses and more time building the interface that visualizes the load and capacity trends.

Historical analysis on the edge

Query massive datasets using `query_dataset` to drive user-facing charts. You can filter by region or fuel source while keeping your Vercel Edge Function latency low. It handles the heavy lifting of aggregation. Your application stays snappy even when you are pulling weeks of hourly generation data.

Setup guide

Set up GridStatus 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 GridStatus 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 GridStatus transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GridStatus. 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 GridStatus MCP in Vercel AI SDK

You connect by initializing the MCP client within your server-side route handlers. Once the connection is open, you pass the tool definitions into the AI SDK's generateText function to start querying grid data.

Yes. You just call the `get_realtime_lmp` tool with the appropriate ISO identifier. It returns the latest 5-minute pricing data directly to your client.

It does. You can use `get_load_data` or `query_dataset` to retrieve historical consumption metrics. These results are formatted for immediate display in your front-end components.

Your limits depend on your specific account tier. You can verify your remaining quota or check current usage stats at any time by calling the `get_api_usage` tool.

The server only processes public electricity grid data like load, pricing, and generation mix. It does not touch your user identity or private application data.

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