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Why use Open-Meteo MCP Server with CrewAI?

Bring Weather Forecast
to CrewAI

Create your Vinkius account to connect Open-Meteo to CrewAI and start using all 5 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Get Air QualityGet ElevationGet ForecastGet GeocodingGet Historical Weather
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Open-Meteo

What is the Open-Meteo MCP Server?

Connect to Open-Meteo and access global weather forecasts through natural conversation — no API key needed.

What you can do

  • Current Weather — Get real-time temperature, humidity, wind, precipitation and conditions
  • 7-Day Forecast — Hourly and daily forecasts up to 16 days ahead with 50+ weather variables
  • Historical Weather — Access archived weather data going back to 1940 for any location
  • Air Quality — Get PM2.5, PM10, NO2, O3, SO2, CO and UV index forecasts
  • Geocoding — Find coordinates for any city or place name
  • Elevation — Get elevation data for any coordinates

How it works

  1. Subscribe to this server
  2. No API key needed — start querying immediately
  3. Get weather data from Claude, Cursor, or any MCP-compatible client

No API key required — completely free and open-source.

Who is this for?

  • Travelers — check weather forecasts and air quality before and during trips
  • Researchers — access historical weather data for climate studies and analysis
  • Developers — integrate free weather data into applications without authentication
  • Outdoor Planners — check UV index, wind speed and precipitation for events

Built-in capabilities (5)

get_air_quality

5, PM10, nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide, dust, pollen and UV index. Requires latitude and longitude. Returns hourly data for up to 7 days. Common variables: pm2_5, pm10, nitrogen_dioxide, ozone, sulphur_dioxide, carbon_monoxide, dust, uv_index, alder_pollen, grass_pollen. Get air quality forecast for a location

get_elevation

Useful for hiking, aviation and geographic research. Get elevation for coordinates

get_forecast

Requires latitude and longitude. Supports hourly, daily and current weather variables. Common variables: temperature_2m, relative_humidity_2m, precipitation, rain, snowfall, wind_speed_10m, wind_direction_10m, wind_gusts_10m, weather_code, cloud_cover, pressure_msl, uv_index, visibility, apparent_temperature, dew_point_2m, sunshine_duration. Set past_days to include historical data (0-92 days). Set forecast_days for forecast length (0-16 days, default 7). Timezone defaults to GMT; use "auto" for local timezone. Get weather forecast for a location

get_geocoding

Useful for finding coordinates to use with weather tools. Returns up to 10 results by default. Find coordinates for a place name

get_historical_weather

Requires latitude, longitude, start date and end date (YYYY-MM-DD format). Supports the same hourly variables as the forecast API. Historical data goes back to 1940 for most locations. Use get_geocoding to find coordinates for a city name. Get historical weather data for a location

Why CrewAI?

When paired with CrewAI, Open-Meteo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Open-Meteo tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

  • 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

See it in action

Open-Meteo in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Open-Meteo with Vinkius?

The Open-Meteo connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 5 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Open-Meteo
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Open-Meteo using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Open-Meteo and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Open-Meteo to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Open-Meteo for CrewAI

Every request between CrewAI and Open-Meteo is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Do I need an API key?

No! Open-Meteo is completely free and open-source for non-commercial use. No API key, no sign-up, no registration. Just subscribe and start querying. For commercial use, you'll need an API key from open-meteo.com.

02

What weather variables are available?

50+ variables including: temperature (2m, 80m, 120m, 180m), apparent temperature, humidity, dew point, wind speed/direction/gusts, precipitation, rain, snowfall, snow depth, cloud cover, pressure, UV index, sunshine duration, visibility, evapotranspiration, soil temperature/moisture and many more.

03

How far back does historical data go?

Historical weather data goes back to 1940 for most locations worldwide. Use get_historical_weather with start_date and end_date in YYYY-MM-DD format to retrieve archived data.

04

How do I find coordinates for a city?

Use get_geocoding with the city name (e.g. 'São Paulo', 'Tokyo', 'London'). Returns coordinates, elevation, timezone and country info. Then use those coordinates with get_forecast or get_historical_weather.

05

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.

06

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.

07

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.

08

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.

09

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.

10

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

11

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

12

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

13

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.

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