mcp_weather_scraper
The MCP Weather Scraper is an experimental implementation of the Model Context Protocol (MCP) using a lightweight LLM (e.g., OpenAI's GPT-3.5-turbo) and FastAPI to fetch and structure real-time weather information from open web sources. The project explores how LLMs can interact with tools and serve as intelligent agents for retrieving and reasoning over unstructured web data.
Repository Info
About This Server
The MCP Weather Scraper is an experimental implementation of the Model Context Protocol (MCP) using a lightweight LLM (e.g., OpenAI's GPT-3.5-turbo) and FastAPI to fetch and structure real-time weather information from open web sources. The project explores how LLMs can interact with tools and serve as intelligent agents for retrieving and reasoning over unstructured web data.
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Quick Start
Clone the repository
git clone https://github.com/EXPESRaza/mcp_weather_scraperInstall dependencies
cd mcp_weather_scraper
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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