How to Use the Weather (Open-Meteo) MCP in CrewAI

Q: What weather forecast range does CrewAI handle with Weather (Open-Meteo)?

For a standard look ahead, use weather.forecast for up to 14 days. If you're running a short-term planning operation, the weather.hourly tool gives precise data for the next 24 hours.

Q: How do I get actionable weather alerts with Weather (Open-Meteo) and CrewAI?

The weather.alerts tool checks both current conditions and the forecast to pull any active advisories for a city. If it returns an empty list, that means no significant warnings are currently detected.

Q: Can CrewAI help me plan a trip using Weather (Open-Meteo)?

Absolutely. You can use weather.besttime to analyze 72 hours of hourly weather and score activities like running or hiking, letting your crew decide the perfect time window.

Q: If I need a quick current check with Weather (Open-Meteo) and CrewAI?

The weather.current tool gets immediate weather conditions for any city name globally. This is ideal for agents needing instant, actionable data without running a full forecast.

Run autonomous city weather comparisons using CrewAI's multi-agent teamwork.

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Connect Weather (Open-Meteo) MCP to CrewAI

Create your Vinkius account to connect Weather (Open-Meteo) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Weather (Open-Meteo) with CrewAI

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Comparing Multiple Cities with the MCP Server

Need to know which locale is best? The `weather.compare` tool takes 2 to 5 cities and computes a comfort score for each one. You can assign specialized agents: Agent A researches, and Agent B analyzes the scores. The resulting report shows side-by-side weather data, allowing your CrewAI operation to autonomously recommend the best destination.

Getting Real-Time Weather Reports with CrewAI

The `weather.current` tool fetches immediate conditions for any city name provided in the prompt. This is perfect when a specialized agent needs to quickly verify today's local climate before drafting an itinerary. The agents can use this foundational data point to anchor their subsequent analysis.

Analyzing Air Quality with CrewAI

The `weather.air_quality` tool retrieves critical details like the current AQI, PM10, and NO2 for a specified city. It also provides an explicit health recommendation. One agent can monitor this data while another drafts safety guidelines based on whether the air quality is 'Unhealthy' or 'Good.'

Setup guide

Set up Weather (Open-Meteo) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Weather (Open-Meteo) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Weather (Open-Meteo) Analyst",
    goal="Access and analyze Weather (Open-Meteo) data via MCP.",
    backstory="Expert analyst with direct Weather (Open-Meteo) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Weather (Open-Meteo) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Weather (Open-Meteo) Analyst",
        goal="Access and analyze Weather (Open-Meteo) data via MCP.",
        backstory="Expert analyst with direct Weather (Open-Meteo) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Weather (Open-Meteo) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Open-Meteo. 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 Weather (Open-Meteo) MCP in CrewAI

For a standard look ahead, use `weather.forecast` for up to 14 days. If you're running a short-term planning operation, the `weather.hourly` tool gives precise data for the next 24 hours.

The `weather.alerts` tool checks both current conditions and the forecast to pull any active advisories for a city. If it returns an empty list, that means no significant warnings are currently detected.

This MCP Server handles various environmental metrics: temperature, pressure readings, Air Quality Index values (AQI), and pollutant concentrations like ozone. It deals with location-based atmospheric data.

Absolutely. You can use `weather.best_time` to analyze 72 hours of hourly weather and score activities like running or hiking, letting your crew decide the perfect time window.

The `weather.current` tool gets immediate weather conditions for any city name globally. This is ideal for agents needing instant, actionable data without running a full forecast.

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