Provides specialized tools for data engineering tasks like SQL formatting, dbt model generation, and Snowflake table creation. It enables users to analyze CSV data, validate pipeline configurations, and summarize ETL lineage through natural language.
Enables natural language-powered ETL workflows using Airflow, AWS Glue, Athena, and S3, allowing LLM agents to control and monitor data infrastructure.
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 queries on Trino big data platforms, generating validated, schema-aware SQL via RAG and local LLM inference, and exposes metadata, query, and profiling tools through MCP.
