# Weather Service

This project demonstrates how to integrate the MCP (Model Context Protocol) server with Pydantic.AI, includes example code for weather services, and supports interaction through different LLMs (such as GPT - 4 and Sonnet).

MCP Server Weather Service Project

This code repository contains a series of example projects using the MCP protocol, including a Node.js weather service and a Python file system server, to demonstrate how to build MCP applications.

A weather information server based on the MCP protocol that retrieves real-time meteorological data through the QWeather API.

Create an MCP service project named weather for weather - related functions

A weather service project based on the MCP protocol, including server and client implementations, for obtaining weather data in the United States.

An MCP server for weather services based on the AccuWeather API

A guide to building a weather server using the MCP SDK and the uv package manager

AutoNavi Weather Service Project, implemented based on the MCP protocol

The Weather MCP Server project implements a weather query service through the MCP protocol called by the Claude desktop client

A reliable MCP Weather Server that provides real-time weather data and integrates with the Claude desktop version, supporting NWS weather alerts and 7-day forecasts.

This project is a collection of localized MCP servers used to extend the functionality of the Claude desktop application. It includes services such as weather query and LinkedIn profile scraping, and supports autonomous data control and processing.

This project is a weather service example based on Spring AI MCP Server, providing weather query functions, including weather forecast and weather alert services, through two transport modes, WebMVC and STDIO.

This project contains multiple MCP server implementations, such as weather services, LinkedIn profile retrieval, and PubMed article retrieval, and supports integration with MCP clients.

MCP - ChatBot is a chatbot application based on the Modular Capability Protocol (MCP). It integrates weather services and the GPT - 4o model through a containerized architecture to provide natural language interaction capabilities.

A weather service server based on the Model Context Protocol (MCP) that provides weather information and alerts for US regions through the National Weather Service API for use by AI agents.

The MCP Weather Server is a weather service application built on the Model Context Protocol (MCP), providing access to real-time weather data and alerts. It obtains weather forecasts and alerts for the US through the US National Weather Service (NWS) API and seamlessly integrates with AI assistants as an MCP server.

A dual-source weather server based on the MCP protocol that integrates the QWeather and Seniverse Weather APIs, providing weather query and forecast functions, and supporting failover and fast response.

This project is based on the MCP protocol tutorial and implements an MCP server for weather services.

This project provides a Model Context Protocol (MCP) server template for local development, including three service implementations for weather API, calculator, and note functions. It supports Python 3.10+ environments and can be quickly deployed via the UV package manager.

An MCP server for learning purposes, providing weather information and running in SSE mode.

A Java implementation of a weather service based on the Model Context Protocol, including a fast proxy client, supporting interaction with local and remote MCP servers, and demonstrating the completion of weather query tasks through LLM - called toolchains.

A weather server project based on the MCP framework, providing weather alerts and forecast functions for specific areas in the United States, and obtaining data through the NWS API.

A weather project that includes two service operation modes: SSE and Stdio

Implement an MCP server example based on the dolphin_mcp client, providing weather alert and forecast functions.

A multi - functional computing and monitoring toolset based on JBang and the MCP server

Aleph-10 is an MCP server that combines weather data services and vector memory storage, providing weather information query and semantic-based vector memory management functions, supporting multiple embedding options and metadata filtering.

A weather information MCP server based on TypeScript, providing access to weather data resources, tools for obtaining and updating weather information, and the function of generating weather summaries.