"Answer" matching MCP servers:

An MCP server that uses Playwright to scrape Israeli weather forecasts from weather2day.co.il by automating a real browser, enabling an LLM to answer questions about current conditions and hourly forecasts for Israeli cities.

A Model Context Protocol server for space weather and geomagnetic conditions, enabling AI agents to answer queries about solar flares, solar wind, geomagnetic storms, aurora forecasts, and more from authoritative data.

An MCP server that provides weather forecast tools for Israel (via Playwright web scraping) and the USA (via NWS API), enabling LLM agents to answer weather queries in natural language.

Enables an AI assistant to manage personal tasks in SQLite, answer questions from a local SQLite database through bounded read-only queries, and retrieve weather forecasts from Open-Meteo.

Provides Swiss Aare river swimming data including water temperature, flow rates, safety assessments, and forecasts. Enables AI assistants to answer questions about current conditions, compare cities, and provide safety recommendations based on official BAFU thresholds.

Provides weather alerts and forecasts via the National Weather Service API, enabling Claude to answer weather-related queries.

Provides real-time weather forecasts and alerts by fetching data from the National Weather Service API, allowing Claude to answer weather-related questions with up-to-date information.

Exposes eighteen garden-planning tools to AI agents over stdio, enabling crop calendar and planting-window lookups, companion planting graphs, crop rotation and succession planning, pest and disease intelligence with beneficial-insect cross-references, and USDA zone plus climate classification. All data is curated and served offline, so agents can answer climate-aware scheduling questions without live API calls.

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.

Enables Alexa+ to answer conversational weather queries by retrieving current conditions, forecasts, alerts, and historical data from Open-Meteo, NWS, and simulated IoT sensors stored in SQLite.

Provides live weather data (current conditions, forecasts) and city geocoding through Open-Meteo API, enabling AI assistants to answer weather queries without an API key.

Enables AI assistants to answer real-world weather questions using live Open-Meteo data, with tools for current conditions, umbrella reasoning, outdoor suitability, and city comparisons.

Exposes historical hourly weather data (temperature, humidity, wind chill, cloud cover) via the free Open-Meteo API, requiring no API key, and lets Claude answer questions about past weather conditions.

Nine tools for indoor climate and household energy in Germany/EU: BTU sizing for a room, portable-AC window-seal length, live heatwave outlook, appliance running costs, heating watts, dew point for safe ventilation, and balcony-storage subsidy rules. Also searches and reads 133 guides on getecoback.com; no auth, no personal data, and every answer returns its source URL.

Enables MCP clients such as Claude and ChatGPT to answer questions about French mushroom growing conditions from Bredouille's published index: per-species conditions and best days for a 1 km cell, the drivers behind an index value, commune geocoding, reliability figures, and local picking and hunting rules. It reads public data only, keeps no state, and returns conditions rather than mushroom identifications, always with a safety note to have any harvest checked.

Enables AI assistants to answer natural-language questions about environmental monitoring stations, returning real-time readings, hourly time-series, and combined station overviews. Supports per-user account binding and OAuth 2.1 authorization so each user only sees stations within their own permissions.

Enables AI assistants to fetch live environmental telemetry, verify local Fire TV and smart-meter hardware over TCP sockets, calibrate display and audio settings, orchestrate smart-home scenes, calculate energy savings, and answer natural-language questions about its capabilities.

Enables AI assistants to answer live space weather questions by exposing NOAA SWPC data as callable tools for the current Kp index, 3-day geomagnetic forecast, GOES solar flare activity, and aurora visibility at any latitude.

Enables a household assistant to answer personalized air-quality and pollen questions, plan outdoor activities, issue threshold-based alerts, and log symptoms using live Open-Meteo data. It exposes these capabilities as tools with spoken responses and structured content for MCP clients.

Enables voice assistants to answer when to run household appliances using live solar forecasts, typical-year production, savings, battery, and multi-load planning. It remembers site details, estimates usable solar windows, and returns concise spoken guidance without inventing measurements.