An MCP server that enables natural language interaction with Apache Iceberg data lakehouses, allowing users to query table metadata, schemas, and properties through Claude, Cursor, or other MCP clients.
A Model Context Protocol server that provides seamless integration with Trino and Iceberg, enabling data exploration, querying, and table maintenance through a standard interface.
A Model Context Protocol server that lets LLM clients answer business questions in natural language over a Databricks dataset without writing SQL by hand.
A Model Context Protocol server that enables LLMs to interact with Databricks workspaces through natural language, allowing SQL query execution and job management operations.
A Model Context Protocol server that enables large language models to access database metadata and perform cross-engine data querying across diverse database ecosystems.
