How to Use the Xweather Renewable MCP in Vercel AI SDK

Q: How does Xweather Renewable help with energy planning using Vercel AI SDK?

You run getextendedforecast to grab a 15-day outlook. Then, you stream that data directly into your client's UI using the Vercel AI SDK. It makes long-term planning visible and interactive for end users.

Q: Can I get historical observations with Xweather Renewable and Vercel AI SDK?

Absolutely. Use gethistoricalobservations to pull past weather data. This is key when validating your renewable energy production models against real-world history.

Q: Does the MCP Server support Xweather Renewable and Vercel AI SDK for wind assessment?

Yeah, it does. The getwinddata tool gives you speed and direction metrics needed for wind farm site analysis. You'll see that data stream right into your application.

Q: What kind of locations can Xweather Renewable handle with Vercel AI SDK?

You first run searchlocations to get coordinates and station metadata for any place name. This initial step feeds all subsequent queries, ensuring the rest of your MCP Server calls are accurate.

Get real-time energy data streams directly into your UI with Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Xweather Renewable MCP to Vercel AI SDK

Create your Vinkius account to connect Xweather Renewable 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.

GDPR Free for Subscribers

Setup Xweather Renewable with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Check Farm Power Output Live

Need to check a farm's output? The `get_renewable_energy_farm_data` tool gives you hourly forecasts up to ten days out, plus recent five-minute production estimates. This is perfect for showing users live data feeds in your Next.js app. It handles operational optimization and energy trading metrics instantly. You'll display the results streaming right into the UI—no loading spinners needed.

Assess Solar Sites on Demand

When a user needs to check solar viability, use `get_solar_irradiance_data`. This tool pulls historical data necessary for validating energy yield against past weather patterns. The results feed directly into your frontend code. It makes site assessment simple. You can build out full-scale prototypes showing irradiance levels without needing a backend service to manage the data flow.

Monitor Severe Weather Risks

Protecting assets starts with knowing what's coming. The `get_weather_alerts` tool pulls current advisories for any location, which is critical when building an asset management dashboard. Your AI client gets this data in real-time. Developers can use the stream to immediately notify users of severe weather events before they impact operations.

Setup guide

Set up Xweather Renewable 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 Xweather Renewable 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 Xweather Renewable 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 Vaisala Xweather. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Xweather Renewable now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Xweather Renewable MCP in Vercel AI SDK

You run `get_extended_forecast` to grab a 15-day outlook. Then, you stream that data directly into your client's UI using the Vercel AI SDK. It makes long-term planning visible and interactive for end users.

Absolutely. Use `get_historical_observations` to pull past weather data. This is key when validating your renewable energy production models against real-world history.

Yeah, it does. The `get_wind_data` tool gives you speed and direction metrics needed for wind farm site analysis. You'll see that data stream right into your application.

You first run `search_locations` to get coordinates and station metadata for any place name. This initial step feeds all subsequent queries, ensuring the rest of your MCP Server calls are accurate.

It touches weather observations and energy production metrics. The specific types include current conditions, historical observations, and hourly generation forecasts.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript