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 CrewAI 12 tools — connect in under 2 minutes

Name: Xweather Renewable
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Xweather Renewable through Vinkius, pass the Edge URL in the `mcps` parameter and every Xweather Renewable tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Xweather Renewable Specialist",
    goal="Help users interact with Xweather Renewable effectively",
    backstory=(
        "You are an expert at leveraging Xweather Renewable tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Xweather Renewable "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Xweather Renewable becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Xweather Renewable tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Xweather Renewable

Why Use CrewAI with the Xweather Renewable MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Xweather Renewable through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Xweather Renewable + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Xweather Renewable for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Xweather Renewable, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Xweather Renewable tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Xweather Renewable against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Xweather Renewable MCP Tools for CrewAI (12)

These 12 tools become available when you connect Xweather Renewable to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Xweather Renewable + CrewAI FAQ

Common questions about integrating Xweather Renewable MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.