developer-toolsnone

OpenWeatherMap

WeatherMap provides visual weather data, forecasts, and mappings, helping users understand climate patterns or track severe weather conditions

Verdict

OpenWeatherMap gives your team current weather data for any location worldwide. @mention it in a Space to pull temperature, conditions, humidity, wind speed, and forecasts without leaving the conversation. Sales reps use it to prep for client calls in different cities. Event planners check conditions before outdoor setups. Remote teams coordinate across time zones and climates. The MCP wraps OpenWeatherMap's API — you'll need a free API key from their site, which has rate limits (60 calls/minute on the free tier).

Common use cases

  • Check weather before client site visits
  • Plan outdoor events around forecast windows
  • Coordinate remote team travel logistics
  • Brief executives on conditions for conferences
  • Monitor weather for field operations

Integration

Vendor
OpenWeatherMap
Category
developer-tools
Auth
NONE
Tools
1
Composio slug
weathermap

Tools

  • Weather Info

    Tool for querying the openweathermap api.

Setup

Setup guide

  1. 11. Go to openweathermap.org and create a free account to generate an API key. 2. In Switchy, open your workspace settings and navigate to the MCP Integrations tab. 3. Find OpenWeatherMap in the list and click Connect. 4. Paste your API key when prompted and click Authorize. 5. Switchy confirms the connection with a green checkmark. 6. Open any Space and type '@OpenWeatherMap what's the weather in Seattle' to test — the MCP responds with current conditions. 7. If you hit rate limits, upgrade your OpenWeatherMap plan or space out requests across the team.

What teammates see: by default, memories from OpenWeatherMap are scoped to the Space (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.

Works well with

Top models

Compatibility data appears once enough Spaces have used this MCP together with a given model.

How Switchy teams use it

Not enough Spaces yet to publish anonymised usage stats (we require ≥ 50 Spaces per week).

Starter prompts

Current Conditions Check

@OpenWeatherMap what's the current weather in Austin, Texas? Include temperature, conditions, and wind speed.
Open in a Space →

Multi-City Comparison

@OpenWeatherMap compare current weather in New York, London, and Tokyo. Show temperature and conditions for each.
Open in a Space →

Weekly Forecast Summary

@OpenWeatherMap give me the 5-day forecast for Denver, Colorado. Highlight any rain or extreme temperatures.
Open in a Space →

Travel Prep Briefing

@OpenWeatherMap I'm flying to Miami tomorrow morning. What's the weather like today and the next three days?
Open in a Space →

Event Day Conditions

@OpenWeatherMap what's the weather right now in San Francisco? We're setting up an outdoor booth at 2pm.
Open in a Space →

Example outputs

Illustrative - representative of the model's voice and quality, not literal recordings.

Prompt

@OpenWeatherMap what's the current weather in Seattle and should I bring an umbrella today?

Output

Current conditions in Seattle, WA: 52°F (11°C), overcast clouds with 85% humidity. Wind from the southwest at 8 mph. No precipitation currently, but forecast shows light rain likely within 3 hours. Yes, bring an umbrella — there's a 70% chance of rain this afternoon with expected accumulation of 0.1-0.2 inches.

Notes

This example shows basic weather lookup with AI interpretation. The MCP returns raw weather data (temperature, conditions, forecast); the AI translates it into actionable advice. Requires a free OpenWeatherMap API key. Default queries use metric units unless specified otherwise in the prompt.

Prompt

@OpenWeatherMap compare temperatures in Tokyo, London, and São Paulo right now

Output

Current temperatures across three cities: Tokyo is 68°F (20°C) with clear skies and low humidity — pleasant spring conditions. London sits at 45°F (7°C) under partly cloudy skies with moderate wind. São Paulo is warmest at 77°F (25°C) with scattered clouds and higher humidity typical of late summer. Tokyo and São Paulo are experiencing comfortable weather; London is notably cooler.

Notes

Demonstrates multi-location queries in a single prompt. The MCP fetches current conditions for each city independently; the AI synthesizes the comparison. Response time scales with number of locations queried. Free-tier API keys allow 60 calls per minute, so batch requests like this stay well within limits.

Prompt

@OpenWeatherMap get the 5-day forecast for Denver and flag any days where outdoor construction work might be risky

Output

Denver 5-day forecast summary: Days 1-2 show clear skies, temps 55-62°F — good working conditions. Day 3: Risk flagged — afternoon thunderstorms likely (80% chance) with potential wind gusts to 35 mph; recommend indoor tasks or early shift. Day 4: Clearing, but morning temps near freezing (34°F) could affect materials. Day 5: Clear and mild, 58°F. Overall, plan around Day 3's storm window.

Notes

Shows forecast retrieval with domain-specific AI reasoning. The MCP provides multi-day weather data; the AI applies construction-safety logic based on precipitation, wind, and temperature thresholds. Forecast accuracy decreases beyond 3 days. This workflow works for any industry-specific weather planning (events, agriculture, logistics).

Use-case deep-dives

Field service scheduling

When weather data belongs in your dispatch workflow

A 6-person HVAC company routes technicians across three counties. They use Switchy to check tomorrow's forecast before assigning outdoor installs—roof units in freezing rain get bumped, attic work in 95° heat moves to morning slots. The OpenWeatherMap MCP gives you current conditions and a 5-day outlook in one query, no API wrangling. It's fast enough for daily planning but not granular enough for hour-by-hour rerouting (you'd need a paid tier for that). If your team makes go/no-go calls based on temperature, precipitation, or wind speed more than twice a week, this MCP saves the context-switch to a weather app. Add it to your workspace and treat it like a reference tool, not a decision engine.

Event logistics coordination

Why this MCP works for small-scale event prep

A 3-person nonprofit runs quarterly outdoor fundraisers. Two weeks out, they check the forecast in Switchy to decide on tent rentals and backup venue holds. The Weather Info tool pulls data for any city by name, so they query the event location without leaving the planning thread. OpenWeatherMap's free tier covers the 5-day window they need, though it won't give you hourly breakdowns or severe-weather alerts (you'd monitor those separately). This MCP is overkill if you only run one event a year, but if you're coordinating logistics for recurring outdoor work—markets, shoots, installations—it keeps weather context in the same workspace as your runbooks and vendor lists. No separate tab, no screenshot pasting.

Remote team travel planning

When to skip this MCP for trip coordination

A 10-person remote startup books quarterly offsites. Someone suggests adding the OpenWeatherMap MCP to check destination weather during venue research. Don't. The single Weather Info tool gives you a snapshot, but trip planning needs comparisons across dates, locations, and historical averages—work better suited to a browser tab or a dedicated travel app. You'd end up running the same query five times and manually tracking results. This MCP shines when weather is a binary input (safe to work outside: yes/no), not when you're optimizing across variables. If your team only references weather occasionally and the stakes are low, save the workspace slot for an MCP that handles a higher-frequency task.

Frequently asked

What does the OpenWeatherMap MCP do in Switchy?

It lets your AI agents pull current weather data and forecasts for any location worldwide. The MCP wraps OpenWeatherMap's API so agents can answer weather questions, factor conditions into scheduling decisions, or include climate context in reports without you manually checking forecasts. It's a single tool that queries temperature, humidity, wind speed, and precipitation data on demand.

Do I need an API key to use OpenWeatherMap MCP?

Yes. While the MCP itself requires no OAuth flow, you must provide your own OpenWeatherMap API key during setup. Sign up at openweathermap.org for a free tier key that covers 1,000 calls per day. Paid plans start at $40/month for higher limits. Switchy doesn't include API credits — you're billed directly by OpenWeatherMap based on usage.

Can the OpenWeatherMap MCP access historical weather data?

No. The MCP only queries current conditions and short-term forecasts (typically 5-7 days ahead, depending on your OpenWeatherMap plan). Historical data requires OpenWeatherMap's separate History API, which isn't exposed through this MCP. If you need past weather for analysis, export it from OpenWeatherMap directly or use a different data source.

Why use this MCP instead of just asking an AI to check weather?

Most AI models have stale training data and can't access live weather. The OpenWeatherMap MCP gives agents real-time data pulled directly from the API at query time. This matters for time-sensitive decisions — routing logistics around storms, adjusting event plans, or validating field reports. You get accurate numbers instead of the model guessing based on seasonal averages.

Does OpenWeatherMap MCP usage count against my Switchy plan?

No. Switchy doesn't meter MCP tool calls separately. However, every weather query consumes one API call from your OpenWeatherMap quota, and each agent interaction that triggers the tool counts as a message in your Switchy plan. If your team runs 500 weather queries in a month, that's 500 calls to OpenWeatherMap and 500 messages in Switchy.

Data last verified 607 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.