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Xweather Renewable MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Xweather Renewable through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "xweather-renewable": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Xweather Renewable Agent",
    instructions:
      "You help users interact with Xweather Renewable " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Xweather Renewable?"
  );
  console.log(result.text);
}

main();
Xweather Renewable
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Xweather Renewable MCP Server

Connect to Vaisala Xweather API and bring professional-grade weather intelligence to any AI agent. Access current conditions, 15-day forecasts, solar irradiance data, wind measurements, and renewable energy farm power output data for site assessment and operational optimization.

Mastra's agent abstraction provides a clean separation between LLM logic and Xweather Renewable tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Current Conditions — Get real-time temperature, humidity, wind, pressure, and solar radiation for any global location
  • Weather Forecasts — Access up to 15-day detailed forecasts with day/night periods for planning renewable energy operations
  • Solar Irradiance — Retrieve historical solar irradiance measurements (GHI, DNI, DHI) for PV site assessment
  • Wind Data — Get detailed wind speed, direction, and gust measurements for wind farm evaluation
  • Energy Farm Output — Access estimated and forecasted power output for wind and solar energy sites in US/Canada
  • Historical Observations — Query archived weather data for model validation and trend analysis
  • Location Search — Find weather stations and places by name or coordinates
  • Weather Alerts — Monitor severe weather warnings to protect renewable energy assets
  • Extended Forecasts — Get 15-day outlooks for long-term maintenance and production planning

The Xweather Renewable MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Xweather Renewable to Mastra AI via MCP

Follow these steps to integrate the Xweather Renewable MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from Xweather Renewable via MCP

Why Use Mastra AI with the Xweather Renewable MCP Server

Mastra AI provides unique advantages when paired with Xweather Renewable through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Xweather Renewable without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Xweather Renewable tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Xweather Renewable + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Xweather Renewable MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Xweather Renewable, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Xweather Renewable as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Xweather Renewable on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Xweather Renewable tools alongside other MCP servers

Xweather Renewable MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Xweather Renewable to Mastra AI via MCP:

01

get_closest_weather_station

Returns station details and current conditions. Find the closest weather station to geographic coordinates

02

get_current_conditions

Use city name, coordinates (lat,lon), or station ID. Get current weather conditions for a location

03

get_extended_forecast

Useful for long-term renewable energy production planning and maintenance scheduling. Get extended 15-day weather forecast with day/night periods

04

get_historical_observations

Essential for validating renewable energy production models against historical weather patterns. Get historical weather observations for a location

05

get_renewable_energy_farm_data

Includes hourly energy generation forecasts up to 10 days ahead and recent 5-minute interval production estimates. Essential for energy trading, operational optimization, and regulatory compliance. Get renewable energy farm power output and production data

06

get_solar_irradiance_data

Critical for solar PV site assessment and energy yield validation. Get historical solar irradiance data for renewable energy assessment

07

get_weather_alerts

Critical for renewable energy asset protection during severe weather events. Get weather alerts and advisories for a location

08

get_weather_forecast

Essential for renewable energy production planning. Get weather forecast for a location (up to 15 days)

09

get_weather_observations

Shows actual observed data from weather stations. Get recent weather observations for a location

10

get_weather_summary

Quick overview for general weather awareness. Get a weather conditions summary for a location

11

get_wind_data

Essential for wind farm site assessment, turbine performance analysis, and wind energy production forecasting. Get wind speed and direction data for renewable energy assessment

12

search_locations

Returns place details including coordinates, elevation, and station metadata needed for other API queries. Search for places by name or query

Example Prompts for Xweather Renewable in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Xweather Renewable immediately.

01

"What is the current weather and wind speed in Chicago?"

02

"Show me the 7-day weather forecast for a solar farm site at 35.0, -106.0."

03

"Get the solar irradiance data for my PV site at 34.05, -118.24 for last month."

Troubleshooting Xweather Renewable MCP Server with Mastra AI

Common issues when connecting Xweather Renewable to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Xweather Renewable + Mastra AI FAQ

Common questions about integrating Xweather Renewable MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Xweather Renewable to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.