"How to run local command-line commands" matching MCP servers:

Enables running MCP tools locally in VS Code, currently providing US weather alerts and forecasts via the National Weather Service 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 local control of an LED weather display, allowing users to manage weather data and LED settings through natural language.

A local testing MCP server that provides weather information for L'Hospitalet de Llobregat using the Open-Meteo API, accessible from mobile devices via SSE transport on local networks.

Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.

Provides a health check and a get_weather tool to query current weather by city name via HTTP, designed for integration with Dify.

Provides real-time weather forecasts and international time details through MCP tools, including geocoding, hourly/daily forecasts, and timezone information for any city.

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.

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

Claude Code plugin and MCP server that nudges you to take outdoor breaks based on local weather, sunset timing, and session streaks. Exposes check_grass_conditions, suggest_activity, log_touch_grass, and get_stats tools — fully local, no API keys, no cloud storage.

Exposes Swiss weather forecast data as MCP tools, including rainfall, sunshine, temperature, wind, and more, with local caching.

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

Wraps a climate data-processing pipeline so agents can inspect the config schema and available sample CSVs, validate an inline JSON config, and run the pipeline to return a monthly summary table plus a rendered plot, with file access sandboxed to the data and outputs directories.

Tracks how long you've been indoors, nags you to touch grass, detects frustration, and recommends nearby parks with live weather.

MCP server for Mayotte public data, vigilance, administrative references, and local risk discovery, enabling users to search datasets, list communes, and fetch official information.

Enables retrieving current weather, hourly and daily forecasts, and geocoding for cities via Google Maps Weather API, with a local dashboard for India metro areas.

Demonstrates creating and connecting an MCP weather server using FastMCP, with support for integration with Claude Desktop, Cursor, and local LLMs to query weather alerts and information.

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 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 real-time US weather alerts and forecasts by integrating with the National Weather Service API. It enables AI assistants to fetch state-specific alerts and detailed local forecasts using geographic coordinates.