Analyzes a SQL++ query and provides recommendations for optimal indexes, including current, recommended secondary, and covering indexes to improve query performance.
A server that enables natural language interactions with Couchbase databases through the Model Context Protocol, allowing users to perform SQL++ queries on Couchbase Capella clusters using conversational commands.
Retrieve the names of all scopes and their collections within a specified bucket. Returns a dictionary mapping scope names to lists of collection names.
Identify queries that consume the most bandwidth by retrieving those with the largest response sizes from the system catalog, helping optimize performance.