"Kit" matching MCP servers:

Provides utility tools including random jokes, current weather, and name-based age prediction.

A collection of MCP servers that connect AI assistants to Spanish open government data, including statistics, legislation, land registry, and weather forecasts.

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 get weather alerts and forecasts for U.S. locations using the National Weather Service API, with support for natural language queries including fun conversational tones.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Enables natural language weather queries for cities in Israel and the United States, combining browser automation and official API retrieval.

Minimal MCP server exposing tools for kitesurfing forecasts (wind and waves via Open-Meteo) and tide predictions (via NOAA CO-OPS).

Enables weather queries for US forecasts and alerts via the National Weather Service API, and Israeli weather forecasts through a Playwright-controlled browser, all through an interactive chat interface using OpenRouter and MCP.

Enables fetching weather forecasts for Israeli cities via browser automation with Playwright, no API needed.

A Model Context Protocol server that enables AI assistants to fetch current weather, forecasts, and search for locations using WeatherAPI service through stdio communication.

An MCP server providing AI-powered weather tools via Google Generative AI, enabling real-time weather data retrieval through natural language queries.

Enables LLMs to fetch real-time, localized weather forecasts for Israeli cities by using Playwright to autonomously navigate and scrape weather2day.co.il, including handling Hebrew queries and stateful web interactions.

MCP server that lets users obtain current Israeli city weather forecasts. It uses Playwright to browse Weather2day, extract the forecast page, and feed the cleaned data back to the LLM for natural language responses.

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.