"Resources for Full Stack Development with Beautiful UI" matching MCP servers:

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

An MCP server that uses Google Gemini and Playwright to fetch current weather for Israeli cities, extracting data from live websites to answer queries in Hebrew or English.

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 language models to fetch weather forecasts for Israeli cities by automating a real browser with Playwright to interact with weather2day.co.il, including entering a city, selecting it from autocomplete, and extracting the forecast content.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

Provides weather information from the National Weather Service API with full MCP OAuth 2.1 compliance, including weather alerts and forecasts for US locations through secure Azure AD authentication.

Enables users to retrieve real-time weather forecasts for Israeli cities by autonomously browsing a weather website using Playwright.

A demo MCP server that enables users to interact with various tools through natural language, including note management, weather queries, calculations, file operations, and shell commands. Uses Ollama for intent detection and structured command parsing from free text input.

Enables natural language weather queries for Israeli cities with real-time data extracted via Playwright, plus USA weather alerts and forecasts via NWS API, all orchestrated by Groq LLM.

Enables real-time weather data streaming through a secure MCP server. Features authentication using Descope and can be deployed to Fly.io for remote access.

Enables fetching weather forecasts for Israeli cities by controlling a headless browser via Playwright, instead of using a conventional weather API.

MCP server that enables LLMs to fetch weather forecasts for Israeli cities via Playwright browser automation and US weather alerts/forecasts via the NWS API.

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.

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.

Provides current weather information for Japanese cities using the Open-Meteo API. A sample MCP server built with FastAPI_MCP to demonstrate integrating MCP with FastAPI.

Enables users to check weather conditions using Open-Meteo's free API with GitHub OAuth authentication and personalized location management. Users can save custom location labels (like 'home' or 'office') and query weather using these convenient shortcuts.

An MCP server exposing three tools — a read-only PostgreSQL commerce database, a live weather API, and a calculator — behind a real MCP protocol client/server boundary. It enables natural-language questions that combine database and weather data, with real-time streaming of tool calls and model error recovery.