Weather
Exposes weather-related functionalities as modular tools for AI agents and LLMs via a simple server.
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Weather provides a lightweight and extensible Modular Command Protocol (MCP) server designed to expose weather-related tools. It serves as a practical example for integrating functionalities like `get_coordinates` and `get_forecast` with AI agents, large language models (LLMs), or any tool-using client. This project highlights how MCP facilitates automatic tool discovery and dynamic function calling, enabling seamless interoperability across systems for next-gen integrations.
Características Principales
- Lightweight and extensible design
- Demonstrates server-side tool exposure
- Built for AI agent and LLM integration
- 0 GitHub stars
- Exposes weather-related tools (`get_coordinates`, `get_forecast`)
- Implements Modular Command Protocol (MCP)
Casos de Uso
- Expose local or cloud-based APIs to LLMs
- Prototype tools for LLM function-calling agents (e.g., LangChain, OpenAI)
- Build agent backends with clean, callable tools
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