"Learning NestJS Framework Knowledge" matching MCP servers:

Provides current weather data for any city using the Open-Meteo API, exposed as an MCP tool for integration with MCP clients.

Enables users to manage persistent notes, retrieve current weather by location, and generate study paths with interactive completion checklists through exposed tools.

A minimal MCP server that provides weather data using Open-Meteo API, designed as a teaching tool for improving AI agent tool interfaces.

Predicts the likelihood of school closures due to snowfall and severe winter weather using real-time weather data and machine learning algorithms.

An experimental MCP server that provides weather information tools, including temperature lookup via wttr.io, along with note-taking capabilities for learning MCP server development with GitHub Copilot.

An MCP server that offers arithmetic operations (addition and division) and current weather data from OpenWeatherMap. It serves as a learning project for building MCP servers with Node.js and TypeScript, supporting both stdio and Streamable HTTP transports.

A monorepo for learning the Model Context Protocol with TypeScript, featuring example MCP servers for weather data and tax calculation.

Provides real-time weather queries for 12 major Chinese cities (plus global English city support) using the wttr.in API. Built on the HelloAgents framework, it exposes tools to get current weather, list supported cities, and get server info.

Enables access to World Bank Climate Change Knowledge Portal data through MCP, allowing AI agents to query climate information using natural language.

Production-ready integration of Microsoft Agent Framework with MCP, enabling AI agents to access tools like weather queries, calculations, and Taiwan stock prices through SSE/HTTP streaming transport with Azure OpenAI GPT-4 backend.

Provides real-time weather data for 12 Chinese cities and global locations via wttr.in API, integrated with the HelloAgents framework.

Provides real-time weather information for global locations and 12 major Chinese cities using the wttr.in API. It enables users to query temperature, humidity, and atmospheric conditions through the HelloAgents framework.

Enables real-time weather queries for 12 major Chinese cities and global locations using the wttr.in API. Built on the HelloAgents framework with no API key required.

Provides real-time weather information for 12 major Chinese cities and global locations using the wttr.in API. Built with the HelloAgents framework, it requires no API keys and supports queries in both Chinese and English.

Real-time weather query MCP server supporting 12 Chinese cities (and global cities via English names) using wttr.in API, built on HelloAgents framework.

A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.

A real-time weather query server based on the HelloAgents framework that provides weather data for major Chinese cities and global locations via the wttr.in API. It allows users to retrieve temperature, humidity, and atmospheric conditions without requiring an API key.

Enables users to plan Singapore itineraries by combining a retrieval-augmented knowledge base with live weather forecasts and currency conversion through MCP tools.

A Model Context Protocol server that exposes Retrieval-Augmented Generation capabilities and a weather tool, allowing clients to interact with document knowledge bases and retrieve weather information.

A sample Model Context Protocol server built with Hono framework that provides weather and news resources, calculator and string reversal tools, and code review prompt templates.