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How to Use the AccuWeather MCP in CrewAI

Equip your CrewAI agent teams with professional-grade weather intelligence from AccuWeather for autonomous research and action.

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CrewAI

Connect AccuWeather MCP to CrewAI

Create your Vinkius account to connect AccuWeather 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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Assemble a Weather Research Team

The `search_location` tool is the first step for any weather query. With CrewAI, you can assign this task to a dedicated agent. Create a 'Location Scout' agent that finds the right location key. It then passes that key to a 'Forecast Analyst' agent, which uses `get_daily_forecast` and `get_hourly_forecast` to gather data. This role-based specialization is exactly what CrewAI was built for.

Run Weather-Aware Autonomous Agents

Your crew can use the `get_weather_indices` tool to make decisions without human help. Imagine a 'Travel Logistics' crew monitoring a future trip. One agent checks the `flight_delay_probability` index daily. If it crosses a certain threshold, it alerts a 'Booking Agent' to start looking for alternate flights. This isn't a script; it's an autonomous team using this MCP server to respond to changing conditions.

Delegate Tasks to Specialist Agents

The `get_weather_alarms` tool is critical for safety. You can build a 'Safety Crew' where one agent's only job is to monitor for severe weather alerts. If that agent finds an active hurricane or tornado warning, it passes the alert details to an 'Action Agent' that executes an emergency plan—like sending mass notifications or shutting down equipment. CrewAI allows each agent to focus on one part of the problem, using shared context from the AccuWeather MCP to collaborate.

Setup guide

Set up AccuWeather MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AccuWeather tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent AccuWeather transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AccuWeather MCP in CrewAI

It's straightforward. You can pass your unique Vinkius MCP URL directly into the `mcps` parameter when defining your Agent. For more control, you can use the `MCPServerHTTP` class to filter which specific AccuWeather tools an agent can access.
Yes, that's a primary pattern for CrewAI. The first agent uses the `search_location` tool and adds the resulting key to the crew's shared context. The second agent can then access that key to perform its own tasks with tools like `get_daily_forecast`.
The agent should use the `get_weather_indices` tool. This provides clear categories like 'Good' or 'Poor' for activities like running or hiking. The agent can use this output in its logic to make a recommendation or take an action.
Passing the URL directly is the simplest way and gives the agent all tools. Using the `MCPServerHTTP` class is for advanced cases where you want to restrict an agent to a subset of tools, enforcing stricter roles within your crew.
Vinkius secures the entire process. Each request from your CrewAI agent is handled in a sandboxed, ephemeral environment. The AccuWeather MCP server only sees the location name or key for a specific tool call and has no access to your agents' other tasks or internal state.

Start using the AccuWeather MCP today

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