"Methods for Categorizing Images" matching MCP servers:

Radar-verified storm intelligence for the continental US — NOAA MRMS hail and wind swaths, per-address storm history, affected-property reports, area monitors with webhook + email alerts, and swath map images. Boots keyless; free API key (100 credits) at swathapi.com.

Enables MCP clients to search for locations, fetch weather forecasts, and retrieve forecast meteogram images through the meteoblue Weather API.

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

Provides tools for generating optimized images via Google's Gemini model and fetching weather forecasts and alerts from the National Weather Service. It enables users to create visual content and retrieve environmental data seamlessly within MCP-compatible clients.

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.

A Model Context Protocol tool that provides weather information for cities, with London access requiring Solana devnet payment via the Latinum Wallet MCP server.

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 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.

Provides real-time weather data and current conditions for major Chinese cities and global locations using the wttr.in API. This HelloAgents-based server enables querying of temperature, humidity, and weather status without requiring an external API key.

Provides real-time, historical, and forecasted weather data for any location worldwide using the Open-Meteo API. It includes specialized tools for agricultural growing conditions, weather alerts, and up to 16 days of forecasts across multiple transport modes.

A monorepo for learning the Model Context Protocol with TypeScript, featuring example MCP servers for weather data and tax calculation.

Provides weather forecasts and active alerts for US locations using the National Weather Service API. It supports both local stdio and remote HTTP/SSE transport modes for flexible integration with MCP clients.

Provides access to Visual Crossing Weather Timeline API for weather data retrieval via natural language queries.

Provides real-time weather data, forecasts, and historical weather information from OpenWeatherMap API for Claude Desktop, enabling natural language queries about current conditions, forecasts, air quality, and weather alerts worldwide.

A MCP server for querying real-time weather information for any city worldwide using the free Open-Meteo API, supporting CLI and integration with AI clients like Claude and Cursor.

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

A demonstration server for ModelContextProtocol that provides weather tools and prompts for Claude AI, allowing LLMs to access external data without manual copying.

Fetches current weather information for any city using the Open-Meteo API through a simple MCP tool interface.

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.