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.
Enables AI agents to query live schema, lineage, and query-context across data warehouses, dbt projects, orchestration systems, and BI tools via MCP tools.
Enables natural language interaction with Apache Iceberg Lakehouse tables through MCP, supporting read-only operations like listing namespaces, tables, schemas, and partitions.
Exposes Iceberg-backed ontology objects, links, and actions as typed MCP tools for LLM agents, enabling governed data access and operations without raw SQL.