"How to run Docker and view logs" matching MCP servers:

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.

Enables AI agents to query hyperlocal urban heat data for US locations, including street-level heatmaps, environmental parameters, satellite/street-view segmentation, and heat intelligence reports.

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

Provides real-time weather alerts for US states using the National Weather Service API, enabling users to fetch and view active weather warnings through natural language queries.

Provides MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service 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.

Enables users to monitor active Canadian meteorological warnings and advisories, view national and provincial counts, check alerts near coordinates, and generate safety briefings and incident reports.

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 Hong Kong climate and weather data from the Hong Kong Observatory, including current conditions, forecasts, warnings, tides, and more.

A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

A TypeScript-based MCP server that provides simulated weather data including current conditions, forecasts, alerts, and location search functionality through both MCP protocol and HTTP API endpoints.

A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.

A comprehensive template for building MCP servers with TypeScript, Fastify, and Docker support. Includes tools for calculations and weather data, resources for server information, and prompts for greetings with full development tooling.

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.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

Enables real-time weather lookup for any location via MCP, returning concise summaries from wttr.in.

WeatherAI MCP server — 11 live weather tools for Claude Desktop, Cursor, Windsurf, and any MCP-compatible AI assistant

Enables real-time China nationwide air quality monitoring via CNEMC, with AQI, pollutant concentrations and levels, quality ratings, city rankings, and station-level details.