"Converting Figma Files to React Code" matching MCP servers:

An advanced Model Context Protocol server that integrates real-time weather data, local file system navigation, and geographic information with AI-powered analysis tools. It enables users to perform complex data evaluations and manage files while accessing live climatic and demographic data through compatible MCP clients.

An MCP Server that provides weather information by ZIP code using Interzoid's API, allowing agents to retrieve current weather conditions based on postal codes.

Enables querying current weather, multi-day forecasts, and air quality (PM2.5, PM10, AQI) for Chinese cities, with fuzzy Chinese city-name resolution and a combined all-in-one lookup. Requires no API key or registration.

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.

Enables Claude Desktop and Claude Code to query Taiwan weather data, including 36-hour forecasts, active weather warnings, and recent felt earthquakes, with fuzzy matching for city names.

Enables AI assistants to look up live weather data, including current conditions and up to 16-day forecasts, by converting place names to coordinates and fetching data from the Open-Meteo API without requiring an API key.

A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.

Provides access to weather information by location using the API Ninjas Weather API, supporting queries by coordinates, zip code, city, state, and country.

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.

Enables AI assistants to fetch real-time weather data, forecasts up to 10 days, and compare weather conditions between cities using WeatherAPI.com with support for both Celsius and Fahrenheit units.

Enables natural language access to ERA5 climate data from the Copernicus Climate Data Store. Supports downloading monthly means and inspecting NetCDF files.

Enables users to work out soil, mulch, compost, topsoil and potting mix volumes and bag counts for beds and pots, compare bagged versus bulk costs at their own prices, check what to sow each month, and see how often a town has had frost after Melbourne Cup Day. It runs as a read-only, stateless MCP server that connects directly inside Claude, ChatGPT, Cursor and VS Code.

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

Enables querying the Dutch KNMI Data Platform Open Data API for weather observations, radar precipitation, forecasts, and climate series, with tools to list datasets, inspect files, and obtain signed download URLs.

Enables agents to pull live overnight forecasts for grower blocks and score frost risk with an itemised, versioned engine, returning cold-window start/end hours and a run-protection, stand-by, or no-action verdict. It also lets agents list blocks and sheets, create or update idempotent decision records, and replay their SHA-384 hash chain to verify nothing was altered.

An MCP server that wraps the Ambient Weather REST API. Query your personal weather stations conversationally from Claude Code, Claude.ai, or any MCP-compatible client.

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.

Enables AI agents to fetch keyless 3-hourly forecasts out to 72 hours, including cloud cover, seeing, and transparency for stargazing and astronomy planning, plus general weather conditions such as temperature, humidity, wind, and precipitation.