Transform natural language questions into SQL queries with AI, enabling users to interact with Snowflake databases efficiently. Simplify data querying by converting user input into structured database commands.
Discover accessible databases on SQL Server by querying sys.databases, excluding system and blocked databases by default, with options to include system databases.
A Model Context Protocol (MCP) server that converts natural language queries into SQL statements, allowing users to query MySQL databases using conversational language instead of writing SQL code.
Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.