An MCP server that enables AI assistants to create and manage persistent SQLite databases through natural language without requiring SQL knowledge. It allows users to propose schemas, store records, and perform complex queries across multiple databases for structured data tracking.
An extensible MCP server for database operations that supports PostgreSQL for managing schemas, tables, data, and user permissions. It features automatic migration recording for DDL changes and integrates with various AI-powered editors like Cursor, Zed, and Claude Code.
This MCP server enables database migration between heterogeneous systems (Oracle, PostgreSQL, SQL Server, Netezza to PostgreSQL or SQL Server) through AI assistants by providing tools for command preview, execution, validation, and workflow suggestions.
An MCP server that allows AI assistants to query databases using natural language by leveraging Vanna AI. It supports secure SSH tunneling, model training on database schemas, and persistent storage of SQL patterns via ChromaDB.
An MCP server that enables AI assistants to query databases, execute SQL, and manage Metabase resources like dashboards, cards, and collections through natural language.
