"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP servers:

A collection of MCP servers that provide mathematical operations and weather information tools, enabling AI models to perform calculations and access weather data through a standardized interface.

Enables users to retrieve weather alerts and detailed forecasts for any US location using the National Weather Service API via MCP tools, with deployment to Azure App Service for integration into Copilot Studio.

An MCP server that enables retrieval of historical weather data (temperature, precipitation, conditions, etc.) from Visual Crossing for specified locations and dates.

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 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.

Exposes Weather Underground personal weather station data as tools in Claude, enabling queries for current conditions, daily summaries, hourly history, and station metadata.

Enables fetching current weather forecast for cities in Israel by scraping weather2day.co.il using Playwright.

A minimal MCP server demo written without the MCP Python SDK that demonstrates the complete protocol flow. It provides weather, file search, and datetime tools, and includes a CLI client that bridges MCP tools with OpenAI function calling.

A lightweight Node.js server that connects Claude Desktop to Taiwan's Central Weather Administration (CWA) API, allowing users to retrieve weather forecast data for all cities and counties in Taiwan.

Enables real-time weather queries for cities worldwide using Open-Meteo API. Provides 7-day forecasts with detailed information including temperature, wind, humidity, precipitation, and comfort level assessments in both Chinese and English.

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 access to current weather conditions and hourly forecasts for any location in Sweden using the SMHI Open Data API. It supports built-in city lists, coordinate inputs, and geocoding fallback to deliver detailed meteorological data without requiring authentication.

Provides tools to check weather information for any city and manage prospects in Upnify CRM with dynamic authentication, eliminating the need for pre-configured credentials.

Provides weather forecast data for locations in China through HeFeng Weather API, supporting real-time, hourly, and daily forecasts with full Chinese weather descriptions.

Provides weather forecast data for locations in China using the HeFeng Weather API, with real-time, hourly, or daily forecasts and location-based queries.

Provides 14 comprehensive tools for geocoding, navigation, and visual mapping using Google Maps APIs. It also offers detailed environmental data including weather forecasts, air quality indices, and solar irradiance for location-based analysis and trip planning.

A Model Context Protocol server implementation that provides tools for querying flight information, weather data, and flight comfort metrics through Variflight services.

A service that provides real-time weather data, forecasts, and alerts for US locations through natural language queries in the Cursor IDE.

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 simple demonstration server for the MCP Python SDK that provides weather alerts for locations, allowing users to query weather information through Claude Desktop or Cursor.

A simple educational MCP server implemented in Node.js that allows users to fetch weather information for cities using the Open-Meteo API.

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 LLMs and autonomous agents to access live global weather consensus, storm and seismic monitoring, space weather, webcam search, and tactical SITREP generation, plus sub-5ms local queries across 1M+ spatial sensor nodes in SQLite.

Enables AI agents to retrieve live weather updates for any city via OpenWeatherMap, wrapped in MCP format.

Demonstrates how to integrate Model Context Protocol with Server-Sent Events (SSE) in a FastAPI web application, including a weather service example with tools for getting forecasts and alerts.

Provides real-time weather updates and city geocoding by integrating the Nominatim and Open-Meteo APIs. It enables users to retrieve current weather conditions for any location through natural language queries in MCP-compatible clients.

Provides access to NOAA National Weather Service forecasts and alerts. Enables finding weather observation stations in US states via the get_stations tool.

Provides weather reports for Zhongshan District, Taipei, Taiwan and other Taiwanese cities using the Open-Meteo API, enabling AI assistants to answer weather queries in natural language.

Real-time weather query MCP server providing current weather for cities via wttr.in, with support for listing built-in city mappings and server metadata.

Fetches live weather data from Open-Meteo without an API key and returns structured JSON with location disambiguation, enabling weather queries in LM Studio chat.