How do I get an OpenWeather API key?

Visit [**openweathermap.org/api**](https://openweathermap.org/api), click **Sign Up** for a free account, go to **API Keys** in your account settings, and create a new key. Copy it — it's a 32-character hex string. Free tier includes 60 calls/minute.

Can I get weather alerts for my location?

Yes! Use `get_weather_alerts` with lat/lon coordinates. Returns active alerts with sender name, event type, severity, description and start/end times. Useful for monitoring severe weather, floods, heat waves and other dangerous conditions.

Can I get historical weather data?

Yes! Use `get_historical_weather` with lat/lon and a date in YYYY-MM-DD format. Returns the weather conditions for that specific day including temperature, humidity, wind and pressure.

How do I find coordinates for a city?

Use `geocode` with the city name (e.g. 'London', 'São Paulo', 'Tokyo'). Returns the top 5 matching locations with their latitude, longitude, country code and state. Use these coordinates with other weather tools.

OpenWeather MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: OpenWeather
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="OpenWeather Specialist",
    goal="Help users interact with OpenWeather effectively",
    backstory=(
        "You are an expert at leveraging OpenWeather 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 OpenWeather "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About OpenWeather MCP Server

Connect to OpenWeather APIs and access global weather data through natural conversation.

When paired with CrewAI, OpenWeather becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call OpenWeather 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 Weather — Get real-time temperature, humidity, wind, pressure, visibility and conditions for any location
Hourly Forecast — 48-hour hourly forecast with temperature, precipitation probability and UV index
Daily Forecast — Up to 16-day daily forecast with min/max temperatures and weather descriptions
Weather Alerts — Active severe weather warnings and alerts for any location
Air Quality — Current AQI and 4-day forecast with pollutant concentrations (PM2.5, PM10, O3, NO2, CO)
Historical Weather — Weather conditions for any past date
Sun Times — Sunrise and sunset times for any location
Geocoding — Convert city names to coordinates and vice versa

The OpenWeather MCP Server exposes 11 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 OpenWeather to CrewAI via MCP

Follow these steps to integrate the OpenWeather 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 11 tools from OpenWeather

Why Use CrewAI with the OpenWeather MCP Server

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

OpenWeather + CrewAI Use Cases

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

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

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

OpenWeather MCP Tools for CrewAI (11)

These 11 tools become available when you connect OpenWeather to CrewAI via MCP:

geocode

Returns the top 5 matching locations with their coordinates, country codes and state names. Use these coordinates with other weather tools. Convert a city name to coordinates

get_air_quality

5, PM10, O3, NO2, SO2, CO, NH3). AQI scale: 1=Good, 2=Fair, 3=Moderate, 4=Poor, 5=Very Poor. Requires lat/lon coordinates. Get current air quality index for a location

get_air_quality_forecast

Each data point includes AQI level (1-5 scale) and concentrations of PM2.5, PM10, O3, NO2, SO2, CO and NH3. Get 4-day air quality forecast for a location

get_current_weather

Requires either city name (e.g. "London", "São Paulo") or latitude/longitude coordinates. Get current weather conditions for a location

get_daily_forecast

Each day includes min/max temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Get daily weather forecast for up to 16 days

get_forecast

Each data point includes temperature, humidity, wind, pressure and weather description. Optionally set the number of days (1-5). Requires either city name or lat/lon. Get 5-day/3-hour weather forecast

get_historical_weather

Returns temperature, humidity, wind, pressure and weather description for the requested date. Requires lat/lon and date in YYYY-MM-DD format. Get historical weather data for a specific date

get_hourly_forecast

Each hour includes temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Use geocode to find coordinates for a city name. Get hourly weather forecast using One Call API

get_sun_times

Returns the exact times and the sun's elevation angle at sunrise/sunset. Requires lat/lon coordinates. Get sunrise and sunset times for a location

get_weather_alerts

Returns alert type, severity, description, start and end times. Requires lat/lon coordinates. Useful for monitoring severe weather conditions. Get active weather alerts for a location

reverse_geocode

Returns the city, state, country and postal code for the given coordinates. Convert coordinates to a city name

Example Prompts for OpenWeather in CrewAI

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

"What's the current weather in São Paulo?"

"What's the 7-day forecast for Tokyo?"

"Is the air quality good in Beijing right now?"

Troubleshooting OpenWeather MCP Server with CrewAI

Common issues when connecting OpenWeather 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.

OpenWeather + CrewAI FAQ

Common questions about integrating OpenWeather 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.