"Guide to Creating React Components" matching MCP servers:

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

Provides real-time water temperature and tide predictions for any lake, river, ocean, bay, or beach using NOAA, USGS, and other sources.

Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.

MCP server connecting AI models to SRG SSR public APIs – weather, TV/radio metadata, program guide and Swiss votations/elections since 1900.

Demonstrates creating and connecting an MCP weather server using FastMCP, with support for integration with Claude Desktop, Cursor, and local LLMs to query weather alerts and information.

A basic MCP server adapted from the official quickstart guide that provides weather data functionality and works with OpenAI chat completions API. Demonstrates MCP server setup with configuration examples for Claude Desktop and development tools.

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 users to produce explainable UK garden watering recommendations as deterministic millimetres, litres and runtime from self-reported garden details or an optional postcode, without controlling irrigation hardware.

Wraps the Tomorrow.io Weather API to provide weather data, allowing AI agents to query forecasts and historical conditions via natural language.

Provides real-time weather data from Open-Meteo API and enables creating and retrieving notes stored locally in JSON format.

Enables AI assistants to list demo inverter sites, inspect production, pull weather context, and get deterministic panel-cleaning recommendations over MCP using synthetic solar operations data.

Enables LLMs to retrieve 24-hour weather forecasts and city information through natural language queries using city names or coordinates.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

An MCP server that provides current weather, hourly and 7-day forecasts, and air quality data for any city or zip code, with an interactive React UI and support for both stdio and HTTP transports.

Provides real-time NOAA space weather data (solar flares, Kp index, solar wind) and analyzes HF radio propagation conditions for amateur radio operators to determine optimal frequency bands.

A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.

Enables LLMs to fetch real-time weather data for any city and perform basic arithmetic operations like addition.

An MCP server that generates random numbers by using national weather data as entropy seeds. It provides a unique way to generate random values through weather API integration within the Model Context Protocol.

An MCP server that provides a weather tool to fetch temperature data from Open-Meteo, with a bundled React widget for interaction.

A server that integrates the MCP library with OpenAI's API, allowing users to interact with various tools, such as the weather tool, through natural language queries.