Enables AI assistants to interact with MariaDB databases through standard SQL operations and advanced vector/embedding-based search. Supports database management, schema inspection, and semantic document storage and retrieval with multiple embedding providers.
Enables AI assistants to interact with MariaDB databases through SQL operations and vector-based semantic search. Supports standard database queries, schema inspection, and optional embedding-powered document storage and retrieval.
Enables AI assistants to interact with MySQL databases through a standardized interface, including executing SQL queries, listing databases and tables, and describing table structures.
Enables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.
Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.
Enables AI assistants to securely interact with MariaDB and MySQL databases using granular per-connection read/write permissions and transaction support. It allows users to manage multiple database connections, explore schemas, and execute controlled SQL queries through a standardized interface.
