OpenWeather API

@OpenWeather get the 5-day forecast for Seattle, WA and summarize which days are best for outdoor activities

Based on the 5-day forecast for Seattle (47.6062°N, 122.3321°W), here's what to expect: Day 1 shows partly cloudy skies with temps around 58°F and 20% precipitation chance. Day 2 brings rain (80% chance) with highs of 54°F. Days 3-4 remain overcast with intermittent showers. Day 5 clears to mostly sunny, 62°F, 10% rain chance. Best outdoor days: Day 1 (morning) and Day 5 (all day). Pack layers—temps fluctuate 8-10°F between morning and afternoon across the period.

This example shows how the MCP pairs forecast data with AI reasoning to answer planning questions. The 5-day forecast updates every 3 hours, so timing matters—morning vs. evening queries may show different precipitation windows. Requires a valid API key with forecast access enabled.

@OpenWeather add a weather station named 'Rooftop Garden Monitor' at my office coordinates 40.7128°N, 74.0060°W

Weather station 'Rooftop Garden Monitor' successfully registered with OpenWeather. Station ID: RGM_74006_40712. You can now send custom observations (temperature, humidity, wind speed, precipitation) from your sensor array to this station. Data will appear in your account dashboard within 5 minutes of first transmission. Remember to use this station ID when posting measurements via the API.

This demonstrates the write capability for users running their own weather sensors. Adding a station is a prerequisite for submitting custom data—you can't post observations without a registered station ID. Useful for IoT projects, agricultural monitoring, or hyperlocal weather tracking where official stations are sparse.

@OpenWeather compare current air pollution levels in Los Angeles, Beijing, and New Delhi—which city has the healthiest air quality right now?

Current Air Quality Index readings: Los Angeles (34.0522°N, 118.2437°W) shows AQI 68 (Moderate) with PM2.5 at 22 µg/m³. Beijing (39.9042°N, 116.4074°E) reports AQI 152 (Unhealthy) with PM2.5 at 89 µg/m³ and elevated NO₂ levels. New Delhi (28.7041°N, 77.1025°E) registers AQI 187 (Unhealthy) with PM2.5 at 112 µg/m³. Los Angeles has the healthiest air today—safe for outdoor activities. Beijing and New Delhi residents should limit prolonged outdoor exertion, especially sensitive groups.

This showcases the MCP's ability to fetch real-time air pollution data across multiple locations for comparative analysis. Air quality readings update hourly but can lag 30-60 minutes behind actual conditions. The AI translates raw pollutant concentrations (PM2.5, NO₂, O₃) into actionable health guidance using standard AQI thresholds.

When weather data belongs in your dispatch workflow

A 12-person HVAC company routes techs across a metro area every morning. The dispatcher checks the 5-day forecast and air quality data to prioritize outdoor installs when conditions are safe and reschedule rooftop work when UV index spikes or air pollution hits hazardous levels. This MCP wins here because the team already uses Switchy for dispatch notes and customer context—pulling OpenWeather's forecast and pollution tools into the same workspace means one fewer tab and faster routing decisions. The API key auth is straightforward for the ops manager to set up once. If your field work doesn't hinge on same-day weather (like indoor-only service calls), skip this and stick with a weather app. But if conditions change your schedule daily, this MCP turns weather from a distraction into a routing input your whole team can reference in one place.

Why this MCP matters for outdoor event coordinators

A 3-person event planning shop runs 8-12 outdoor weddings and corporate picnics per month. Two weeks before each event, they pull the 5-day forecast for the venue's lat/long to brief clients on contingency plans. Three days out, they check hourly forecasts and UV index to finalize tent placement and sunscreen station needs. This MCP fits because the team already tracks client communications and vendor checklists in Switchy—adding weather lookups to the same thread means the planner, the client liaison, and the day-of coordinator all see the same forecast without forwarding screenshots. The 17 tools cover edge cases like air pollution for asthma-sensitive guests. If you only run 1-2 events a quarter, a free weather site is fine. But at 8+ events a month, this MCP saves the repetitive copy-paste and keeps weather context attached to the event record.

When custom weather stations justify the setup cost

A 2-person organic farm tracks microclimates across 40 acres using three custom weather stations. They log soil moisture, temperature, and air quality daily to time irrigation and pest treatments. This MCP's Add Weather Station and Get Air Pollution History tools let them register their stations and pull historical data into Switchy alongside crop notes and harvest schedules. The payoff is real if you're already managing station data—centralizing it with your farm ops means the grower and the farmhand see the same readings when deciding whether to spray or wait. The threshold: if you're not running custom stations, this MCP is overkill. A simpler forecast tool will do. But if you've invested in station hardware and need to correlate weather history with yield data, this MCP turns raw readings into a shared decision layer your team can act on without switching apps.