Ambee
Ambee provides real-time, hyperlocal environmental data through APIs, offering insights into air quality, weather, pollen, and more.
Verdict
Common use cases
- Route field teams through low-pollution zones
- Forecast air quality for outdoor event planning
- Geocode customer addresses for hyperlocal insights
- Monitor AQI trends across office locations
- Embed real-time pollen data in health apps
Integration
- Vendor
- Ambee
- Category
- other
- Auth
- API_KEY
- Tools
- 16
- Composio slug
ambee
Tools
- Geocode by Place
Tool to transform a place name or address into geographic coordinates. use after confirming the location name to get precise latitude and longitude.
- Get Air Quality by City
Tool to retrieve real-time air quality data for a specific city. use after obtaining a valid city name when current aqi and pollutant levels are needed.
- Get Air Quality by City
Tool to retrieve real-time air quality data for a specific city. use when you have a valid city name and need current aqi and pollutant levels.
- Get Air Quality by Country Code
Tool to retrieve real-time air quality data for a specific country using a 3-letter iso code. use after acquiring the country code and when you want a national overview of air quality.
- Get Air Quality by Latitude and Longitude
Tool to retrieve real-time air quality data for a specific latitude and longitude. use when you need hyper-local air quality readings for given coordinates.
- Get Air Quality by Latitude and Longitude
Tool to retrieve real-time air quality data for a specific latitude and longitude. use when you need hyper-local air quality readings for given coordinates.
- Get Air Quality by Postal Code
Tool to retrieve real-time air quality data for a specific postal code and country. use when you need hyper-local air quality insights by postal code.
- Get Air Quality Forecast by Latitude and Longitude
Tool to retrieve air quality forecast for a specific latitude and longitude. use when you need predicted air quality data up to 48 hours in advance based on geographic coordinates.
- Get Elevation by Latitude and Longitude
Tool to retrieve elevation statistics (min, max, mean) for a specific latitude and longitude. use when you need geospatial elevation data for a location within north america.
- Get Elevation by Place
Tool to retrieve elevation or altitude data for a specific location by place name. use when you have a textual place name and need its elevation in meters.
- Get ILI Forecast by Latitude and Longitude
Tool to retrieve 30-day forecast of influenza-like illness (ili) risk using latitude and longitude. use when you need daily ili risk levels for a specific location, optionally including pollen and weather details.
- Get Wildfire Data by Latitude and Longitude
Tool to retrieve real-time wildfire data for a specific latitude and longitude. use when detailed geospatial wildfire monitoring is required.
- Get Wildfire Data by Place
Tool to retrieve real-time wildfire data for a specific place. use after confirming the place name.
- Get Wildfire Risk Forecast by Place
Tool to retrieve wildfire risk forecast for a specific place. use when you need weekly wildfire risk predictions for a location over the next four weeks.
- Get Wildfire Risk Forecast by Place
Tool to retrieve wildfire risk forecast for a specific place. use when you need weekly wildfire risk predictions for a location over the next four weeks.
- Retrieve latest natural disasters by continent
Tool to retrieve latest natural disaster data for a specific continent. use when you need up-to-date disaster information by continent code.
Setup
Setup guide
- 11. In Switchy, navigate to Settings > Integrations and select Ambee from the developer tools category. 2. Visit the Ambee dashboard at ambeedata.com, sign up or log in, then generate an API key from the API Keys section of your account settings. 3. Copy the key and paste it into the Switchy connection dialog, then click Connect. 4. Switchy will validate the key by making a test request to Ambee's geocoding endpoint. 5. Once connected, open any Project and type '@Ambee get air quality for San Francisco' to confirm the integration works. 6. The response will include AQI, pollutant breakdowns, and a timestamp — if you see live data, you're ready to invoke any of Ambee's 16 tools by @mentioning the integration in your prompts.
What teammates see: by default, memories from Ambee are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Projects have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
AQI for Event Planning
@Ambee I'm planning an outdoor product launch at 1 Market Street, San Francisco on Thursday. Get the air quality forecast for the next 48 hours and flag any periods where AQI exceeds 100.
Geocode Customer List
@Ambee I have a list of cities: Austin, Denver, Portland, Seattle. Geocode each one and return the latitude and longitude for each location.
Compare AQI Across Offices
@Ambee Get the current air quality for New York City, Los Angeles, and Chicago. Rank them by AQI from cleanest to most polluted and summarize the main pollutants in each.
Postal Code AQI Check
@Ambee What's the current air quality for postal code 94103 in the United States? Include AQI and the dominant pollutant.
Country-Level Air Quality
@Ambee Get the air quality overview for India using the country code IND. Summarize the national AQI and highlight any regions with concerning pollution levels.
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@Ambee what's the current air quality in Seattle, and should I be concerned about outdoor exercise today?
Based on Ambee's real-time data for Seattle (47.6062°N, 122.3321°W), the current AQI is 68 (Moderate) with PM2.5 at 18.2 µg/m³ and PM10 at 32.1 µg/m³. Ozone levels are 45 ppb. For most people, outdoor exercise is fine at this level, though individuals with respiratory sensitivities may want to reduce prolonged or intense outdoor exertion. The air quality is typical for urban areas and doesn't warrant significant concern for the general population.
This example demonstrates Ambee's core strength: translating place names into coordinates, then fetching hyper-local air quality readings. The MCP requires an API key with access to both geocoding and air quality endpoints. Response times depend on Ambee's API availability; rate limits vary by subscription tier.
@Ambee get me a 48-hour air quality forecast for San Francisco so I can plan my weekend hike schedule
Ambee's 48-hour forecast for San Francisco (37.7749°N, 122.4194°W) shows: Today (Fri): AQI 55-72 (Moderate), PM2.5 peaking at 21 µg/m³ around 6 PM. Tomorrow (Sat): AQI 42-58 (Good to Moderate), clearest air between 8 AM-2 PM with PM2.5 around 12 µg/m³. Sunday: AQI 38-51 (Good), best conditions all day. Recommendation: Saturday morning or all day Sunday offer optimal air quality for outdoor activities. Friday evening shows slightly elevated particulates.
This showcases Ambee's forecasting capability, which helps users plan ahead rather than react to current conditions. The forecast accuracy depends on Ambee's modeling; predictions beyond 24 hours have higher uncertainty. Requires API access to forecast endpoints, which may be a separate tier from real-time data.
@Ambee compare air quality across New York, Los Angeles, and Chicago right now and tell me which city has the cleanest air
Current air quality comparison across three major US cities: New York (AQI 48, PM2.5: 11.3 µg/m³) — Good; Los Angeles (AQI 87, PM2.5: 28.4 µg/m³) — Moderate, elevated due to traffic and geography; Chicago (AQI 52, PM2.5: 13.1 µg/m³) — Moderate. New York currently has the cleanest air of the three, with all pollutant levels in the 'Good' range. Los Angeles shows typical urban pollution patterns with PM2.5 approaching 'Unhealthy for Sensitive Groups' threshold.
This example pairs Ambee's multi-location data retrieval with AI synthesis to answer comparative questions. The MCP makes multiple API calls (one per city), so rate limits matter for bulk queries. Demonstrates how environmental data becomes actionable intelligence when combined with reasoning.
Use-case deep-dives
When Ambee wins for routing HVAC or landscaping teams
A 12-person HVAC company schedules outdoor installs two days out and needs to know if air quality will force respirator protocols or shift delays. Ambee's 48-hour forecast by lat/long lets the dispatcher pull AQI predictions for each job site during morning route planning. The API key setup takes five minutes; the geocode and forecast tools cover the entire workflow. This works when your crew size is under 50 and jobs cluster in metro areas where Ambee's coverage is dense. If you're scheduling hundreds of daily stops or working rural routes where sensor density drops, the forecast accuracy gets spotty. For small field ops that already track job coordinates, Ambee turns air quality from a day-of surprise into a scheduling input.
When this MCP handles real-time AQI lookups at support scale
A 6-person support team for a fitness app gets tickets from users asking why their outdoor workout recommendations changed. The app backend uses Ambee, but support needs to verify what AQI the user actually saw. The "Get Air Quality by Postal Code" tool lets agents pull the exact reading without escalating to engineering. With 16 tools, the MCP covers city, country, and coordinate lookups, so agents match however the user describes their location. This works when your ticket volume is under 200 daily and the questions are diagnostic, not transactional. If you're fielding thousands of tickets or need sub-minute response SLAs, the API rate limits will bottleneck. For small support teams troubleshooting location-based features, Ambee gives agents the same data the product uses.
When Ambee supports hyperlocal reporting on air quality trends
A 3-person climate newsroom writes stories on pollution spikes tied to wildfires or industrial zones. The reporter needs current AQI for a specific neighborhood, not just the city average, to fact-check resident complaints. Ambee's lat/long and postal code tools let them pull readings at block-level precision, and the geocode tool turns an address from a tip into coordinates. The 16-tool spread means they can pivot between city overviews and pinpoint checks without switching data sources. This works when your publication runs a few stories per week and the reporter is comfortable chaining tool calls in a prompt. If you're a daily newsroom needing historical trend analysis or multi-year datasets, Ambee's real-time focus won't cover it. For small teams doing investigative pieces on air quality, this MCP turns anecdotal claims into verifiable data points.
Frequently asked
What does the Ambee MCP do in Switchy?
It pulls real-time and forecast air quality data into your AI workspace. Your team can ask questions like 'What's the AQI in Berlin?' or 'Show me pollen levels for 90210' and get answers sourced from Ambee's environmental sensors. The MCP geocodes place names, then fetches pollutant levels, pollen counts, and weather data by city, country, postal code, or exact coordinates.
Do I need an Ambee account to use this MCP?
Yes. You need an active Ambee subscription and an API key from their dashboard. Paste the key into Switchy's connection screen. No OAuth dance—just the key. If your Ambee plan has rate limits or geographic restrictions, those apply to every query the MCP makes on your behalf.
Can the Ambee MCP predict air quality more than two days out?
No. The forecast tool caps at 48 hours ahead. If you need longer-range predictions, you'll have to query Ambee's API directly or wait until tomorrow to get the next 48-hour window. The MCP mirrors Ambee's own forecast horizon—it doesn't extrapolate beyond what the vendor provides.
How is this different from just calling Ambee's REST API?
The MCP wraps Ambee's endpoints so your AI assistant can call them mid-conversation without you writing code. Instead of curling JSON and parsing responses, you ask 'Is the air safe to run outside in Tokyo?' and the MCP handles geocoding, fetching AQI, and formatting the answer. It's faster for ad-hoc questions; the raw API is better for scheduled batch jobs.
Who on my team should connect the Ambee MCP?
Whoever holds the Ambee API key and understands your rate limits. Typically a developer or ops lead. Once connected, everyone in the Switchy workspace can query air quality data through the AI—they don't need individual Ambee accounts. Just make sure the key's quota covers your team's expected query volume.