Weather MCP server using Open-Meteo API
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# 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: ```bash git clone https://github.com/esakrissa/agents-sdk-telegram.git cd agents-sdk-telegram ``` 2. Create and activate a virtual environment: ```bash python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` 3. Install dependencies: ```bash pip install -r requirements.txt ``` 4. Create a .env file in the project root: ```bash TELEGRAM_BOT_TOKEN=your_bot_token_here OPENAI_API_KEY=your_openai_api_key_here ``` 5. Run the bot: ```bash 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 - …
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