MCP Data ServerSQL access to geospatial data — for AI agents

An MCP server that lets any LLM client query petabytes of H3-indexed environmental and biodiversity data via DuckDB and S3. No database setup required.

Quick Start

Browse Datasets

GitHub

Zero Configuration

Point any MCP-compatible LLM client at the hosted endpoint. No database to install or configure.

DuckDB on S3

Queries run directly against Parquet files in S3 using DuckDB — fast columnar analytics without moving data.

H3 Spatial Indexing

All datasets use Uber's H3 hexagonal grid for efficient spatial joins and area calculations across resolutions.

Isolated Execution

Each query runs in a fresh DuckDB instance. Credentials are request-scoped and never shared between clients.

STAC Catalog

Datasets are discoverable through a standard STAC catalog. The agent browses and resolves S3 paths dynamically.

Private Data Ready

Pass S3 credentials per-call to query private buckets alongside public data in the same query.