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 Natural Language Input: Receives weather queries via webhook, chat, email, or voice 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 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 Smart Home Automation: "Turn on sprinklers if no rain forecast for 3 days" Travel Planning: "Check weather for my Paris trip next week" Event Management: "Will outdoor wedding conditions be good Saturday?" Agriculture/Farming: "Check 5-day forecast for planting schedule" Logistics: "Delay shipping if severe weather forecast in delivery zone" Personal Assistant: "Should I wear a jacket today in Chicago?" Sports/Recreation: "Surf conditions and wind forecast for weekend" Construction: "Safe working conditions for outdoor project this week" Requirements n8n instance (cloud or self-hosted) AI model provider account (OpenAI, Anthropic, Google, etc.) Internet connection for MCP weather server access Optional: Webhook endpoints for external integrations Customizing this workflow Location Intelligence: Add geocoding for address-to-coordinates conversion Data Storage: Save weather history to databases for trend analysis Dashboard Integration: Connect to Grafana, Tableau, or custom visualizations Voice Integration: Add speech-to-text for voice weather queries Scheduling: Set up automated daily/weekly weather briefings 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" "Temperature 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" }, "aisummary": "Perfect beach weather in Miami today! Partly cloudy with comfortable temperatures and light winds." } Why This Workflow is Unique Zero Setup Weather Data: No API key management - MCP server handles everything World-Class Accuracy: Powered by WorldWeatherOnline's premium weather data AI-Powered Intelligence: Natural language understanding of complex weather queries Enterprise Ready: Built-in error handling, rate limiting, and reliability Global Coverage: Worldwide weather data with location intelligence 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 1. ✅ The Agent node is already configured: The system prompt is included The tool endpoint is pre-set 2. 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
