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Query cloud geospatial data at scale with zero-setup SQL access.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Data Server" yet — see the docs or source repo.
Using MCP Data Server, find remote sensing datasets covering Hangzhou in summer 2024 via STAC metadata, then use SQL to count available images per month and return dataset names, date ranges, and the results.
A list of matching datasets and monthly counts of available images.
Use MCP Data Server to access geospatial data on S3, aggregate population or environmental metrics for a selected area at H3 resolution 7, and output each grid's values along with the SQL query.
An H3-aggregated result table with reusable SQL.
Through MCP Data Server, run zero-configuration SQL queries on terabyte-scale geospatial data stored on S3: first list available tables and fields, then filter records for Europe in 2023 and provide sample results.
An overview of queryable tables and fields, the filtering SQL, and sample query results.
Query satellite and geospatial data in natural language across multiple formats.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Search, inspect, trace, and read business data assets across internal platforms.
Manage GeoServer REST API tasks and spatial service configuration with natural language.
Connect data sources and let LLMs reason over the retrieved data.
Control dynamic maps and layers to visualize geospatial data in AI workflows.