"NestJS Framework for Building Backend Applications" matching MCP servers:

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

An MCP server that provides weather alerts and forecasts, system shutdown/restart, smart browser search, and screenshot capture.

Enables querying current weather conditions and 1–7 day forecasts by place name through natural language, using Open-Meteo without requiring an API key.

A simple MCP server that provides weather tools, deployable with Docker, and designed to be used with Claude Desktop via a WSL bridge.

A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.

Integrates weather tools with Intercom, providing real-time weather alerts, forecasts, and personalized customer greetings using National Weather Service API data.

A demo MCP server built with FastMCP that provides weather, calculation, and currency conversion tools for use with AI applications like Claude Desktop and Cursor.

A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.

A comprehensive template for building MCP servers with TypeScript, Fastify, and Docker support. Includes tools for calculations and weather data, resources for server information, and prompts for greetings with full development tooling.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

Fetches precipitation forecasts for any location using Buienradar and integrates with Claude for Desktop to provide accurate two-hour weather predictions.

Hosted MCP server for weather forecast data. Enables AI agents to discover datasets, build validated API requests, and execute live weather queries after OAuth.

Provides real-time weather information and multi-day forecasts using the Open-Meteo API through a robust, enterprise-grade architecture. It enables AI assistants to retrieve current conditions, 7-day forecasts, and contextual weather data for any location.

Enables AI agents to retrieve live weather updates for any city via OpenWeatherMap, wrapped in MCP format.

Adapts the HeFeng QWeather MCP server for ModelScope cloud hosting, allowing weather queries through stdio or HTTP with a default stdio entry.

Provides current weather and forecasts for any city via natural language, using OpenWeatherMap API and OpenAI for conversational interface.