How to Use the DNV Renewables MCP in Vercel AI SDK

Q: What is the best way to check solar data availability before placing an order?

Always run checkdataavailability first. This tool tells you exactly which variables and time periods are available for your target coordinates. It saves you from placing empty orders and wasting API calls on unsupported regions.

Stream wind resource data and solar estimates directly into your Next.js frontend with Vercel AI SDK.

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Connect DNV Renewables MCP to Vercel AI SDK

Create your Vinkius account to connect DNV Renewables 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 DNV Renewables with Vercel AI SDK

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Real-time solar modeling in Vercel AI SDK

Your user requests a solar assessment, and instead of waiting for a slow page reload, the raw numbers stream straight to their screen. This setup uses `get_solar_resource_data` to fetch solar irradiance details, bypassing complex backend plumbing. By feeding these tools into the SDK's streaming text function, your Next.js app renders the solar resource potential instantly. You get immediate UI updates while `check_data_availability` verifies what data points exist for those specific coordinates.

Instant wind yield estimates via MCP Server tools

Building an interactive wind farm planner requires fast calculations. This MCP Server lets your application call `get_energy_yield_estimate` to calculate annual energy production based on local turbine parameters. The Vercel AI SDK handles the asynchronous tool execution in the background, making sure your edge functions don't time out. You get the exact wind resource metrics from `get_wind_resource_data` without managing massive climate databases on your own servers.

Background climate data ordering

When users need deeper historical context, they can trigger a full climate data extraction. Your client calls `place_data_order` to request mesoscale climate data from the DNV API. Because files auto-delete after 12 hours, your frontend can use `get_order_status` to track when the file is ready for download. Once the status hits success, `download_order_data` pulls the dataset directly into your application's state.

Setup guide

Set up DNV Renewables 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 DNV Renewables 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 DNV Renewables 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 DNV Renewables. 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.

Why Choose Vinkius

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Common questions about DNV Renewables MCP in Vercel AI SDK

Install the required packages with npm install ai @ai-sdk/mcp. Initialize the connection using createMCPClient with your Vinkius endpoint, and then pass the tools directly into streamText or generateText. Remember to call mcpClient.close() once the session ends to prevent resource leaks.

Yes, this is exactly what the integration is built for. When your user inputs turbine parameters, the SDK calls `get_energy_yield_estimate` and streams the estimated annual energy production directly into your React components. This eliminates the need for loading spinners during heavy calculations.

Large extractions are managed asynchronously. Your code triggers `place_data_order` to start the extraction on DNV's side, then polls `get_order_status` to see when it's done. Once ready, `download_order_data` securely fetches the file before it gets deleted from the server.

Always run `check_data_availability` first. This tool tells you exactly which variables and time periods are available for your target coordinates. It saves you from placing empty orders and wasting API calls on unsupported regions.

Your wind and solar data queries travel through an isolated MCP sandbox on Vinkius, ensuring zero-trust execution. No raw DNV API keys are exposed to the client-side code, and the downloaded climate files are automatically wiped from the server after 12 hours.

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