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Interactively explore JAXA satellite data, time series, and area images via Claude.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "jaxa-earth-mcp" yet — see the docs or source repo.
Please retrieve the satellite precipitation time series for a coordinate point in Tokyo and summarize the main changes by date.
Returns the precipitation time series for the point with a brief summary of trends.
Please list the JAXA datasets available through this tool and explain what each one measures.
Returns dataset information covering types such as precipitation, land surface temperature, NDVI, elevation, and soil moisture.
Please generate a soil moisture observation image for a specified area and describe the spatial patterns shown.
Returns an area image along with a brief description of the main spatial distribution patterns.
Researchers can use Claude to interactively access JAXA satellite observation data and quickly inspect point time series or area images. It fits exploratory analysis of precipitation, land surface temperature, vegetation, or soil moisture changes.
Students can query dataset information in natural language to understand available observation types and their uses. Time series and image outputs also make satellite data easier to explore visually.
Data analysts can use the tool to inspect observations for a location or area before moving into deeper analysis workflows. This helps confirm dataset types and basic patterns more quickly.
It is an MCP tool that provides interactive access to JAXA satellite observation data through Claude. Known capabilities include point time series, dataset information, and area image generation.
The original description mentions precipitation, land surface temperature, NDVI, elevation, and soil moisture. For the full scope, see the source repository.
The provided material does not include installation steps, runtime requirements, or key information. See the source repository for prerequisites.
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