AI agent in n8n retrieves weather by city via MCP tool

This workflow enables an OpenAI-powered AI agent to process natural language weather queries and automatically invoke an external API via MCP. Ideal for testing agents, prototyping assistants, and demonstrating LLM-to-service integrations.

## Who it´s for
- Developers testing AI agents with external tools
- Integrators using MCP to connect services to LLMs
- Automation specialists needing quick API call demos via natural language
- Teams building assistant prototypes with functional tool calls

## What the automation does
- User manually inputs a query like "weather in New York"
- OpenAI-powered LangChain agent interprets intent and decides on tool use
- Agent triggers the WeatherTrax MCP service via structured tool call
- Parameters such as query type (current, multi_day) and number of days are set dynamically
- Returns structured weather data in response

## What´s included
- Ready-to-use n8n workflow
- Manual trigger handling logic
- Integration with OpenAI and WeatherTrax MCP Service
- Tool calling implementation via LangChain and MCP
- Basic text instructions for launch and adaptation

## Requirements for setup
- n8n account (cloud or self-hosted)
- OpenAI API key
- Access to MCP-compatible WeatherTrax service
- Basic understanding of LangChain and HTTP nodes in n8n

## Benefits and outcomes
- Accelerates prototyping of AI assistants with external tools
- Demonstrates MCP integration with LLMs
- Saves time on initial tool call setup
- Enables testing agent behavior across query types
- Serves as a template for connecting other MCP tools

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.