Access air quality, pollen, and weather data via Google Maps APIs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "environment-mcp" yet — see the docs or source repo.
Get the current air quality in Beijing and return a brief explanation of the key metrics.
Returns current air quality data for the location with a short interpretation.
Retrieve the pollen forecast for Shanghai over the next few days and summarize useful guidance for allergy-sensitive people.
Returns a multi-day pollen forecast and a concise summary.
Fetch last week's historical weather data for Shenzhen and list the main conditions by date.
Returns organized historical weather records for the requested time range.
Developers or data analysts can use it to query air quality, pollen, and weather information through one interface instead of integrating multiple endpoints. It fits apps or workflows that need centralized environmental data access.
Researchers or analysts can query current conditions, forecasts, and historical records in one tool for basic comparisons or trend review. It is useful when environmental information is needed across multiple time horizons.
Product and engineering teams can add location-based air quality, pollen, and weather data to existing systems to enrich services tied to places. It is suitable for map, travel, or local service products.
This is an MCP server for accessing Google Maps Environment APIs. It provides air quality, pollen, and weather queries, including current conditions, forecasts, and historical data.
Based on the provided description, it supports air quality, pollen, and weather data. It can query current conditions, forecasts, and historical records.
The provided materials do not include installation steps, runtime requirements, or key configuration details. For prerequisites and setup, see the source repository.
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Access and organize environment and nature information for research and analysis.
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Provides current weather and forecasts for AI-powered, context-aware applications.