Do I need an API key to use this weather server?

No. This server uses the Open-Meteo API, which is free and open-source for non-commercial use. You can start using it immediately without any manual configuration or signup processes.

Can I check the air quality for my city?

Yes. The `weather.air_quality` tool provides the current US AQI level, concentrations of PM2.5, PM10, Ozone, and health recommendations based on the current conditions.

How can I find the best time for a run or a hike?

Use the `weather.best_time` tool. You can specify your preferred temperature range and whether you want to avoid rain. Your agent will analyze the forecast and suggest the optimal time windows for your activity.

Weather (Open-Meteo) MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Weather (Open-Meteo)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Weather (Open-Meteo) through Vinkius, pass the Edge URL in the `mcps` parameter and every Weather (Open-Meteo) 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="Weather (Open-Meteo) Specialist",
    goal="Help users interact with Weather (Open-Meteo) effectively",
    backstory=(
        "You are an expert at leveraging Weather (Open-Meteo) 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 Weather (Open-Meteo) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

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

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About Weather (Open-Meteo) MCP Server

Connect to Open-Meteo and empower your AI agent with high-precision meteorological data through natural conversation. This server provides comprehensive weather insights for any location on Earth without requiring complex API configurations.

When paired with CrewAI, Weather (Open-Meteo) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Weather (Open-Meteo) 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 — Retrieve real-time temperature, humidity, wind speed, and precipitation for any city
Precise Forecasts — Get 7-day daily forecasts or detailed 24-hour hourly breakdowns to plan your activities
Air Quality — Monitor US AQI levels and dominant pollutants (PM2.5, PM10, Ozone) with health recommendations
Weather Alerts — Receive critical notifications for severe weather conditions like storms, heavy snow, or high UV levels
City Comparisons — Compare weather conditions between two different cities to help with travel or logistics planning
Best Time Analysis — Find the optimal window for outdoor activities based on temperature and precipitation thresholds
Global Coverage — Seamlessly geocode any city name into coordinates for instant weather retrieval

The Weather (Open-Meteo) MCP Server exposes 7 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 Weather (Open-Meteo) to CrewAI via MCP

Follow these steps to integrate the Weather (Open-Meteo) 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 7 tools from Weather (Open-Meteo)

Why Use CrewAI with the Weather (Open-Meteo) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Weather (Open-Meteo) 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

Weather (Open-Meteo) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Weather (Open-Meteo) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Weather (Open-Meteo) 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 Weather (Open-Meteo), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Weather (Open-Meteo) 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 Weather (Open-Meteo) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Weather (Open-Meteo) MCP Tools for CrewAI (7)

These 7 tools become available when you connect Weather (Open-Meteo) to CrewAI via MCP:

weather.air_quality

Always display the health_recommendation from the result. AQI scale: 0-50=Good, 51-100=Moderate, 101-150=Unhealthy for Sensitive Groups, 151-200=Unhealthy, 201-300=Very Unhealthy, 301+=Hazardous. Get current air quality index (AQI), PM2.5, PM10, ozone, and NO2 for any city

weather.alerts

Alerts are computed from current conditions and the 7-day forecast. Returns an empty list if no significant conditions are detected. Get active weather alerts and advisories for any city, derived from forecast data

weather.best_time

This tool analyses hourly data for 72 hours and scores each 3-hour window using activity-specific criteria. Supports activities: general, hiking, beach, cycling, running, outdoor_work, photography, picnic. Always show the tip from the top-ranked window. Find the best time windows in the next 72 hours to do an outdoor activity in any city, with a comfort score

weather.compare

g. "which city has better weather?", "should I go to Lisbon or Madrid this weekend?", "compare weather in NYC, London, and Tokyo"). Accepts 2 to 5 cities. Computes a comfort score for each and highlights the best option. Compare current weather conditions across multiple cities side by side, with comfort scores

weather.current

Accept natural language city names (e.g. "São Paulo", "New York", "Paris, France"). Do NOT use for forecasts — use weather.forecast for that. Get current weather conditions for any city in the world

weather.forecast

Default to 7 days if the user does not specify. Max 14 days. For today's hour-by-hour breakdown, use weather.hourly instead. Get a multi-day weather forecast (1–14 days) for any city in the world

weather.hourly

Always covers the next 24 hours from now. For multi-day overview, use weather.forecast instead. Get an hour-by-hour weather forecast for the next 24 hours for any city

Example Prompts for Weather (Open-Meteo) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Weather (Open-Meteo) immediately.

"What's the weather like in Tokyo right now?"

"Give me the 7-day forecast for London."

"Compare the weather between New York and Miami."

Troubleshooting Weather (Open-Meteo) MCP Server with CrewAI

Common issues when connecting Weather (Open-Meteo) 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.

Weather (Open-Meteo) + CrewAI FAQ

Common questions about integrating Weather (Open-Meteo) 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.