What weather and renewable energy data is available through the Xweather API?

The Xweather API provides: current conditions (temperature, humidity, wind, pressure, solar radiation), forecasts up to 15 days, historical weather observations, solar irradiance data (GHI, DNI, DHI) for PV assessment, wind speed/direction measurements, renewable energy farm power output data for US/Canada sites, weather alerts and advisories, and location search capabilities.

How do I get Xweather API credentials (Client ID and Client Secret)?

Visit https://www.xweather.com/ and sign up for an Xweather Flex subscription. Once your account is provisioned, navigate to your developer dashboard to create an application and obtain your Client ID and Client Secret. These credentials authenticate your API requests and are tied to your subscription plan. The Renewables Add-on is required for energy farm data access.

What location formats are supported for weather queries?

The API accepts multiple location formats: city names (e.g., 'Chicago,IL'), latitude/longitude coordinates (e.g., '41.88,-87.63'), weather station IDs, postal codes, and ICAO airport codes. You can also use the searchPlaces tool to find valid location identifiers or the getClosestStation tool to find the nearest weather station to any coordinates.

How far ahead can the Xweather forecast predict?

Xweather provides detailed weather forecasts up to 15 days ahead. Short-term forecasts (1-7 days) are the most accurate, with gradually decreasing accuracy for longer horizons. The forecast includes temperature, weather conditions, wind, precipitation, and solar radiation data — all essential for renewable energy production planning.

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

Name: Xweather Renewable
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Xweather Renewable through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Xweather Renewable "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Xweather Renewable?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every Xweather Renewable tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Xweather Renewable with type-safe schemas

Why Use Pydantic AI with the Xweather Renewable MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Xweather Renewable integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Xweather Renewable connection logic from agent behavior for testable, maintainable code

Xweather Renewable + Pydantic AI Use Cases

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

Type-safe data pipelines: query Xweather Renewable with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Xweather Renewable tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Xweather Renewable and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Xweather Renewable responses and write comprehensive agent tests

Xweather Renewable MCP Tools for Pydantic AI (12)

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

get_closest_weather_station

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

get_current_conditions

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

get_extended_forecast

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

get_historical_observations

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

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

get_solar_irradiance_data

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

get_weather_alerts

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

get_weather_forecast

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

get_weather_observations

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

get_weather_summary

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

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

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 Pydantic AI

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

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

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

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

Troubleshooting Xweather Renewable MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Xweather Renewable + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Xweather Renewable MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.