Enables natural language querying and management of local Apache Iceberg tables with full CRUD, time travel, schema evolution, and Vortex format support via MCP.
Enables natural language querying of Snowflake databases through a read-only MCP server, allowing users to ask questions in plain English and get results as markdown tables.
Enables natural language interaction with Apache Iceberg Lakehouse tables through MCP, supporting read-only operations like listing namespaces, tables, schemas, and partitions.
Enables AI assistants to query Apache Iceberg tables on S3 via AWS Glue Data Catalog using DuckDB as the embedded query engine, supporting columnar Arrow reads with no data movement.
Enables natural language querying of Apache Iceberg lakehouse by exposing typed tools for namespace discovery, table metadata inspection, snapshot history, time travel SQL generation, and partition pruning explanation.