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Weather Bot with OpenAI: Real-Time Forecasts & Smart Alerts - MCP Implementation

Weather Bot with OpenAI: Real-Time Forecasts & Smart Alerts

Empower your weather decisions with our Telegram bot, powered by OpenAI Agents SDK and MCP Server. Real-time forecasts, smart alerts, seamless integration—stay ahead, anywhere.

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About Weather Bot with OpenAI

What is Weather Bot with OpenAI: Real-Time Forecasts & Smart Alerts?

Weather Bot is a Telegram-based AI assistant built with OpenAI's Agents SDK and Model Context Protocol (MCP). It lets users ask weather questions in natural language and get instant forecasts for any global city. Powered by the GPT-4o-mini model, the bot handles queries like "What's the temperature in Tokyo?" while seamlessly integrating real-time data from Open-Meteo's API. Think of it as your pocket weatherman who speaks your language.

How to Use Weather Bot with OpenAI: Real-Time Forecasts & Smart Alerts?

Using the bot is as simple as chatting with a friend:

  1. Send any weather question to the bot in plain English (e.g., "Will it rain in Bali tomorrow?")
  2. Get instant replies with current conditions like temperature, wind speed, and precipitation details

For developers: Setup takes ~5 minutes using Python 3.11+. Just clone the repo, set up Telegram/OpenAI keys, and run the script – no API limits since Open-Meteo doesn’t require an API key.

Weather Bot with OpenAI Features

Key Features of Weather Bot with OpenAI: Real-Time Forecasts & Smart Alerts?

This bot packs a punch with:

  • True conversational intelligence: GPT-4o-mini handles ambiguous queries ("Is it warm enough for shorts in Lisbon?")
  • Zero-configuration data access: Built-in Open-Meteo integration eliminates API key hassles
  • Native Telegram formatting: Responses use rich cards with temperature graphs and condition icons
  • Context-aware alerts: The MCP server remembers past queries to provide smarter follow-ups

Use Cases for Weather Bot

Perfect for:

  • Travelers checking beach conditions in real-time
  • Commuters planning morning routines based on wind chill
  • Outdoor event planners verifying weather trends
  • Developers testing AI integration workflows

Weather Bot with OpenAI FAQ

FAQ: Everything You Need to Know

  • Do I need programming skills? Nope – just basic Telegram setup. The repo includes step-by-step deployment guides.
  • How accurate is the data? Uses the same sources as professional weather services, updated every 30 minutes.
  • Language support? Understands 15+ languages through GPT's multilingual capabilities.
  • Can it send alerts? Current version responds on-demand, but scheduled alerts are in the roadmap.

Content

Weather Bot with OpenAI Agents SDK

A Telegram bot that provides real-time weather information using OpenAI's Agents SDK and Model Context Protocol (MCP). The bot can fetch current weather conditions for cities worldwide using natural language queries, powered by GPT-4o-mini model.

Features

  • Real-time weather data using Open-Meteo API
  • Natural language processing with OpenAI Agents SDK (GPT-4o-mini)
  • Simple MCP server implementation for weather data retrieval
  • Telegram-native message formatting
  • Easy-to-use interface with simple weather queries

Technology Stack

  • Python 3.11+
  • OpenAI Agents SDK
  • Model Context Protocol (MCP)
  • python-telegram-bot
  • Open-Meteo API (no API key required)

Quick Start

  1. Clone the repository:
git clone https://github.com/esakrissa/agents-sdk-telegram.git
cd agents-sdk-telegram
  1. Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Create a .env file in the project root:
TELEGRAM_BOT_TOKEN=your_bot_token_here
OPENAI_API_KEY=your_openai_api_key_here
  1. Run the bot:
python main.py

Usage

Simply send a message to the bot asking about weather in any city:

what's the weather in Ubud?

The bot will respond with current weather conditions including:

  • Temperature
  • Weather conditions
  • Wind speed

Architecture

OpenAI Agents SDK Integration

The bot uses OpenAI's Agents SDK with GPT-4o-mini model to process natural language queries and generate human-like responses. The Agent is configured with specific instructions for handling weather-related queries and maintaining conversation context.

Model Context Protocol (MCP)

The project implements a simple MCP server (weather_mcp.py) that provides the get_weather tool. This demonstrates how to:

  • Create custom MCP tools
  • Handle tool requests and responses
  • Integrate external APIs (Open-Meteo) with MCP

License

MIT © Esa Krissa

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