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.
Enables natural language interaction with Apache Iceberg Lakehouse tables through MCP, supporting read-only operations like listing namespaces, tables, schemas, and partitions.
Enables enterprise AI agents to query governed data lineage, PII-aware schema documentation, and semantic metadata from SQL logs via MCP, with role-based access and vector search.
Enables AI assistants to interact seamlessly with IBM watsonx.data lakehouses using natural language for operations like querying, catalog browsing, engine management, and data ingestion.
Enables AI assistants to interact with Databricks workspaces through natural language, supporting SQL queries, cluster management, jobs, Genie AI, Unity Catalog, and more.
