How to Use the Xweather Renewable MCP in Mastra AI

Q: How do I use Xweather Renewable for operational planning with Mastra AI?

You set up a workflow that uses getextendedforecast to pull the 15-day plan. The Mastra AI agent handles subsequent steps, like checking if any critical maintenance windows conflict with predicted low energy output.

Q: Is Xweather Renewable reliable for historical data using Mastra AI?

Yes. You use gethistoricalobservations to validate your models. The MCP Server ensures the retrieved data is clean, and Mastra AI's built-in retries mean you get accurate results even if the API connection hiccups.

Q: Does Xweather Renewable support wind assessment using Mastra AI?

It does. Your workflow calls getwinddata and then uses that output to calculate potential energy gains, completing a full site viability check within the single Mastra AI run.

Q: Can I get current conditions with Xweather Renewable using Mastra AI?

You can use getcurrentconditions or getweathersummary. The MCP Server handles input by city name, coordinates, or station ID, allowing your workflow to be very flexible.

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Connect Xweather Renewable MCP to Mastra AI

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Setup Xweather Renewable with Mastra AI

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Automate Energy Forecasting

Want to build a multi-step workflow for energy trading? You can chain calls using `get_renewable_energy_farm_data`. The process gets the 10-day forecast, then checks regulatory compliance data. If everything looks good, it sends an alert. This is perfect because Mastra AI automatically retries if the initial API call fails, so your workflow doesn't just crash.

Validate Site Data in Workflows

When assessing a new site, run `get_solar_irradiance_data` first. The Mastra AI framework takes that historical data and passes it to your next step: checking the wind potential via `get_wind_data`. This makes a reliable, multi-tool assessment. Since it handles failure gracefully, if one weather check fails, you'll get notified instead of just an error message.

Handle Severe Weather Responses

For asset protection, your workflow needs to be robust. Use `get_weather_alerts` to trigger a sequence: first checking the alert status, then calling `get_closest_weather_station` for local context. If conditions are bad, it notifies an admin. Mastra AI's conditional branching means you can write specific failure paths—if the risk is high, execute this action; otherwise, move on.

Setup guide

Set up Xweather Renewable MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Xweather Renewable tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "xweather-renewable-mcp-client",
  servers: {
    "xweather-renewable-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Xweather Renewable Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Xweather Renewable tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Xweather Renewable transactions"
);
console.log(result.text);

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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.

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Common questions about Xweather Renewable MCP in Mastra AI

You set up a workflow that uses `get_extended_forecast` to pull the 15-day plan. The Mastra AI agent handles subsequent steps, like checking if any critical maintenance windows conflict with predicted low energy output.

Yes. You use `get_historical_observations` to validate your models. The MCP Server ensures the retrieved data is clean, and Mastra AI's built-in retries mean you get accurate results even if the API connection hiccups.

It does. Your workflow calls `get_wind_data` and then uses that output to calculate potential energy gains, completing a full site viability check within the single Mastra AI run.

You can use `get_current_conditions` or `get_weather_summary`. The MCP Server handles input by city name, coordinates, or station ID, allowing your workflow to be very flexible.

It touches various weather and energy production types. Specifically: current conditions, historical observations, wind speed/direction, and irradiance data.

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