Real-time Weather Forecasts with MCP Tools
This n8n workflow demonstrates how to integrate real-time weather intelligence into any automation using the Model Context Protocol (MCP). Get current conditions and 5-day forecasts with natural language queries like "What's the weather like in Miami?" or "Will it rain next Tuesday in Seattle?" - all powered by live weather data and AI.
Good to know
- No API keys required - uses hosted MCP weather server with built-in WorldWeatherOnline integration
- Provides current conditions and detailed 5-day forecasts
- Natural language queries work for any location worldwide
- Powered by WorldWeatherOnline - the world's most accurate weather system
- Fully preconfigured and ready to run out-of-the-box
- Enterprise-ready with error handling and rate limiting
How it works
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Natural Language Input : Receives weather queries via webhook, chat, email, or voice
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AI Agent Processing : n8n Agent node interprets requests and determines:
- Location extraction from natural language
- Weather data type needed (current or 5-day forecast)
- Response formatting preferences
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MCP Weather Tool : Live hosted server provides:
- Real-time current conditions (temperature, humidity, wind, conditions)
- 5-day detailed forecasts with daily highs/lows
- Weather descriptions and condition codes
- Powered by WorldWeatherOnline's premium data
-
Intelligent Responses : AI formats weather data into:
- Conversational natural language responses
- Structured data for downstream automation
- Action-triggering data for workflows
How to use
- Import the workflow into n8n from the template
- Add your preferred AI model API key to the Agent node
- Customize the system prompt for your specific use case
- Connect to your preferred input/output channels
- Run and start querying weather with natural language
Use Cases
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Smart Home Automation : "Turn on sprinklers if no rain forecast for 3 days"
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Travel Planning : "Check weather for my Paris trip next week"
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Event Management : "Will outdoor wedding conditions be good Saturday?"
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Agriculture/Farming : "Check 5-day forecast for planting schedule"
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Logistics : "Delay shipping if severe weather forecast in delivery zone"
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Personal Assistant : "Should I wear a jacket today in Chicago?"
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Sports/Recreation : "Surf conditions and wind forecast for weekend"
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Construction : "Safe working conditions for outdoor project this week"
Requirements
- n8n instance (cloud or self-hosted)
- AI model provider accounts (OpenAI, Anthropic, Google, etc.)
- Internet connection for MCP weather server access
- Optional: Webhook endpoints for external integrations
Customizing this workflow
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Location Intelligence : Add geocoding for address-to-coordinates conversion
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Data Storage : Save weather history to databases for trend analysis
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Dashboard Integration : Connect to Grafana, Tableau, or custom visualizations
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Voice Integration : Add speech-to-text for voice weather queries
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Scheduling : Set up automated daily/weekly weather briefings
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Conditional Logic : Trigger different actions based on weather conditions
Sample Input/Output
Natural Language Queries:
"What's the weather like in Miami?"
"Will it rain next Tuesday in Seattle?"
"5-day forecast for London"
"Temperatures in Tokyo tomorrow"
"Weather conditions for outdoor event Saturday"
Rich Responses:
{
"location": "Miami, FL",
"current": {
"temperature": "78°F",
"condition": "Partly Cloudy",
"humidity": "65%",
"wind": "10 mph SE"
},
"forecast": {
"today": "High 82°F, Low 71°F, 20% rain",
"tomorrow": "High 85°F, Low 73°F, Sunny"
},
"ai_summary": "Perfect beach weather in Miami today! Partly cloudy with comfortable temperatures and light winds."
}
Why This Workflow is Unique
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Zero Setup Weather Data : No API key management - MCP server handles everything
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World-Class Accuracy : Powered by WorldWeatherOnline's premium weather data
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AI-Powered Intelligence : Natural language understanding of complex weather queries
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Enterprise Ready : Built-in error handling, rate limiting, and reliability
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Global Coverage : Worldwide weather data with location intelligence
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Action-Oriented : Designed for automation decisions, not just information display
Transform your automations with intelligent weather awareness powered by the world's most accurate weather system!
🧪 Setup Steps
- ✅ The Agent node is already configured :
- The system prompt is included
- The tool endpoint is pre-set
- All you need to do is:
- Add your AI model API key to the existing Agent credential
- Hit run and you're done ✅
🔗 Full project link: Github: weathertrax-mcp-agent-demo
