How do I get weather for a specific city?

First use `search_location` with the city name (e.g. 'Tokyo') to find its AccuWeather location key. Then use that key with `get_current_conditions` for current weather, `get_daily_forecast` for the forecast, or `get_hourly_forecast` for hour-by-hour details.

What's the difference between daily and hourly forecasts?

Daily forecasts (1-15 days) give you one summary per day with high/low temperatures and overall conditions. Hourly forecasts (12-120 hours) give you weather for each individual hour — perfect for knowing exactly when rain will start, when temperatures peak, or the best time for outdoor activities. Use hourly for precise timing, daily for general planning.

Can I get severe weather alerts?

Yes. Use the `get_weather_alarms` tool with a location key to check for active severe weather alerts. This includes hurricanes, tornadoes, flood warnings, heat advisories, winter storm warnings, and more. Returns empty if no active alarms. Essential for emergency preparedness and travel safety decisions.

AccuWeather MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: AccuWeather
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="AccuWeather Specialist",
    goal="Help users interact with AccuWeather effectively",
    backstory=(
        "You are an expert at leveraging AccuWeather 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 AccuWeather "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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About AccuWeather MCP Server

Access AccuWeather's superior weather forecasting — the industry standard used by enterprises worldwide for accurate, localized weather data. Connect AccuWeather to your AI agent to get current conditions, daily and hourly forecasts, severe weather alarms, and activity planning indices for any location on Earth — all through natural conversation.

When paired with CrewAI, AccuWeather becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AccuWeather 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, RealFeel, humidity, wind, UV index, and visibility for any city.
Daily Forecasts — Retrieve 1 to 15-day forecasts with high/low temperatures, precipitation probability, and sunrise/sunset times.
Hourly Forecasts — Get hour-by-hour weather for up to 120 hours (5 days) for precise planning.
Weather Alarms — Monitor active severe weather alerts including hurricanes, tornadoes, floods, and heat advisories.
Activity Indices — Get recommendations for outdoor activities, UV exposure, running, golf, fishing, and more.
Location Search — Find any city, town, or place worldwide and get its weather.
Metric Units — All data returned in Celsius, km/h, and kilometers for international use.

The AccuWeather MCP Server exposes 10 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 AccuWeather to CrewAI via MCP

Follow these steps to integrate the AccuWeather 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 10 tools from AccuWeather

Why Use CrewAI with the AccuWeather MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with AccuWeather 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

AccuWeather + CrewAI Use Cases

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

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

Multi-source enrichment pipelines: chain AccuWeather 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 AccuWeather against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

AccuWeather MCP Tools for CrewAI (10)

These 10 tools become available when you connect AccuWeather to CrewAI via MCP:

get_current_conditions

Returns temperature (metric), weather text (e.g. "Partly sunny"), RealFeel temperature, humidity, wind speed and direction, UV index, visibility, cloud cover, and precipitation. Essential for instant weather checks. Use get_location_by_key first to find the correct location key. Get current weather conditions for a location

get_current_conditions_metric

Returns temperature in Celsius, wind in km/h, visibility in kilometers. Includes RealFeel temperature, humidity, UV index, wind gusts, and precipitation data. Use for international audiences or scientific analysis. Get current weather conditions with detailed metric values

get_daily_forecast

Each day includes high and low temperatures, weather conditions, precipitation probability, wind speed, UV index, sunrise/sunset times, and air quality information. Returns data in metric units (Celsius, km/h). Essential for trip planning, event scheduling, and agricultural decisions. Use 5 days for standard weekly forecasts. Get daily weather forecast for a location

get_extended_forecast

While forecasts beyond 7-10 days have lower accuracy, this is useful for event planning, travel preparation, and agricultural scheduling. Each day includes high/low temperatures, precipitation probability, and general conditions. Use for planning events 2 weeks in advance. Get 15-day extended weather forecast

get_hourly_forecast

Each hour includes temperature, weather icon, precipitation probability, wind speed and direction, and cloud cover. Essential for detailed planning — knowing exactly when rain will start, when temperatures peak, or when conditions are safe for outdoor activities. Returns data in metric units. Use 24 hours for tomorrow planning. Get hourly weather forecast for a location

get_index_groups

This helps you understand what types of indices are available (outdoor activities, health, home & garden, etc.) before querying specific indices for a location. Use this to discover what activity planning indices are supported. Get available index groups and categories

get_location_by_key

Returns the city name, country, region, timezone, coordinates, elevation, and administrative area. Use this to verify you have the correct location before making weather queries. Get detailed information about a location by its AccuWeather key

get_weather_alarms

Includes severe weather alerts such as hurricanes, tornadoes, flood warnings, heat advisories, and winter storm warnings. Each alarm includes severity level, description, start and end times, and source. Essential for safety planning, emergency preparedness, and travel decisions. Returns empty if no active alarms. Get active weather alarms and warnings for a location

get_weather_indices

Includes indices for outdoor activity suitability, flight delay probability, UV exposure, running, hiking, golf, fishing, lawn mowing, composting, and more. Each index includes a numeric value, category (e.g. "Excellent", "Poor", "Good"), and descriptive text. Essential for activity planning, health advisories, and lifestyle decisions. Get weather indices (outdoor activity, flight, UV, etc.) for a location

search_location

The location key is required for other weather queries. Returns matching locations with their keys, country, region, and coordinates. Use this as the first step before any weather query. For example, search for "New York" to find the correct location key for New York City. Supports partial matching and returns multiple results. Search for a location by name to get its AccuWeather location key

Example Prompts for AccuWeather in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with AccuWeather immediately.

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

"Give me the 5-day forecast for Paris, France."

"Are there any severe weather alerts for Miami right now?"

Troubleshooting AccuWeather MCP Server with CrewAI

Common issues when connecting AccuWeather 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.

AccuWeather + CrewAI FAQ

Common questions about integrating AccuWeather 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.