"Asynchronous command execution for OpenCode terminal tasks" matching MCP servers:

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

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

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

Enables querying current weather conditions and 1–7 day forecasts by place name through natural language, using Open-Meteo without requiring an API key.

A simple MCP server that provides weather tools, deployable with Docker, and designed to be used with Claude Desktop via a WSL bridge.

A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.

Integrates weather tools with Intercom, providing real-time weather alerts, forecasts, and personalized customer greetings using National Weather Service API data.

Enables scheduling of construction works against weather forecasts, using deterministic tools to check weather suitability, estimate curing times, and place dependent tasks into the earliest non-prohibited time windows.

A command-line tool that provides access to US weather data through a client-server architecture using MCP and Google's Gemini AI, allowing users to query weather alerts and forecasts using natural language.

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

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

A lightweight server that exposes weather-related tools (get_coordinates and get_forecast) using the Modular Command Protocol, designed for integration with AI agents and LLMs.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

Fetches precipitation forecasts for any location using Buienradar and integrates with Claude for Desktop to provide accurate two-hour weather predictions.

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 AI assistants with real-time and forecast airport intelligence, including security wait times, FAA delays, EU border queues, lounge and terminal info, aviation weather, and baggage performance for over 8,000 airports.

Hosted MCP server for weather forecast data. Enables AI agents to discover datasets, build validated API requests, and execute live weather queries after OAuth.

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.

Adapts the HeFeng QWeather MCP server for ModelScope cloud hosting, allowing weather queries through stdio or HTTP with a default stdio entry.