AI weather forecasts with MCP integration
Ready for 3.0What this workflow does
This AI workflow has 6 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model and HTTP Request. It also calls mcp-weathertrax.jaredco.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- 🧪 Enter weather request (Edit Fields (Set)): sets or maps fields
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (MCP - WeatherTrax)
- 🧪 View Results Here (Code): runs custom JavaScript code
Services it uses
HTTP calls to: mcp-weathertrax.jaredco.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (6)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Http Request Tool
n8n-nodes-base.httpRequestTool - Code
n8n-nodes-base.code - Edit Fields (Set)
n8n-nodes-base.set - Manual Trigger
n8n-nodes-base.manualTrigger
From the author
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…