一个MCP客户端实践：实现LLM调用天气MCP服务端查询天气的快速示例

MCP Weather Test is a small Python project that demonstrates Model Context Protocol (MCP) server integration with LangChain for weather queries, including a simple weather MCP server, client examples, and test chatbots using OpenWeatherMap and Open-Meteo APIs

A MCP-compatible weather toolkit that exposes National Weather Service alerts and forecasts as tools, plus example clients for SSE and chat-driven usage.

A simple MCP (Model Context Protocol) server that provides weather alert information for US states, leveraging the National Weather Service (NWS) API. It also includes an example client application that demonstrates how to interact with the MCP server using the mcp_use library.

A practical implementation of the Model Context Protocol (MCP) with multiple specialized servers (key-value, calculator, weather) and LLM integration via Groq. Demonstrates how AI assistants can use external tools through a standardized protocol. Includes clients, documentation, and examples for learning and extending MCP capabilities.