The YR MCP Server is a tool that enables the integration of Yr Weather Data into applications powered by Large Language Models. This provides LLMs with real-time weather context for enhanced functionality.
To begin using the server, set up your environment with either uv or pip. After installing the required dependencies, you can run the server to start processing weather data for your projects.
Key features include seamless integration with Yr Weather Data for LLMs, flexible setup options using uv or pip, and a straightforward dependency installation process.
Common use cases are enhancing chatbots with live weather updates, providing weather context within AI applications, and enabling the analysis and visualization of weather patterns.
The server's purpose is to allow developers to incorporate weather data into their LLM apps, improving response relevance. Setup is straightforward with instructions for Windows and Linux. It is suitable for both personal and commercial applications.