"Plotly Dash - A Python Framework for Building Interactive Web Dashboards" matching MCP servers:

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

An MCP-based project that integrates Zhipu AI and Tencent Map APIs to provide weather queries, geocoding, and web search functionality through both command-line and web interfaces.

Enables AI agents to retrieve current atmospheric conditions for a specified location via OpenWeatherMap.

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.

Provides two MCP server examples in Python: a minimal greeting tool and a weather tool that fetches real-time data from Open-Meteo API.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

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.

Provides weather information and web search capabilities with special support for Hugging Face inference providers. Integrates seamlessly with tiny-agents framework for conversational AI interactions.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.

Provides weather forecast and alert information for US locations using the National Weather Service API. Enables users to get detailed weather forecasts by coordinates and retrieve active weather alerts by state.

Enables AI agents to fetch real-time weather data for any location using the OpenWeatherMap API. Demonstrates how to build a simple MCP server that exposes weather information as a tool for LLMs.

A tutorial-based MCP server that fetches real-time weather data from the OpenWeatherMap API for specified locations. It serves as a practical example for implementing the Model Context Protocol using Python and the FastMCP library.

Enables querying weather data through natural language, providing current conditions, daily and hourly forecasts, and city comparisons using the wttr.in API.

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.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

A Model Context Protocol (MCP) server that provides US weather forecasts and active alerts using the National Weather Service API.

Provides current weather data for any location using the OpenWeatherMap API.

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.

An MCP server that provides weather alerts and forecasts, system shutdown/restart, smart browser search, and screenshot capture.