Why this server?
This server is an excellent fit as it explicitly supports both PostgreSQL (PG) and MySQL databases and is designed for high-performance interaction by AI agents.
Why this server?
This server supports both PostgreSQL and MySQL, and enables fundamental database operations like executing queries, accessing records, listing tables, and exposing database schemas (required for DDL context).
Why this server?
This server explicitly supports multiple SQL database engines, including PostgreSQL and MySQL, and handles executing queries and exposing database schemas, which covers the user's requirements for querying and DDL visibility.
Why this server?
This server supports connecting to and querying multiple database types, including PostgreSQL and MySQL, through a unified interface, essential for managing multi-database environments.
Why this server?
This database MCP server is optimized for LLMs and explicitly supports both PostgreSQL and MySQL, making it highly relevant for the requested database connections.
Why this server?
Although focused on PostgreSQL, this server is highly relevant as it explicitly mentions support for 'schema exploration' and 'DDL generation' (Data Definition Language), satisfying a key requirement for managing database structures.
Why this server?
This server is highly relevant as it explicitly enables interaction with both MySQL and PostgreSQL through pluggable servers, catering directly to the user's need for multi-database connectivity.
Why this server?
This general-purpose database access tool supports MySQL and PostgreSQL databases and provides query capabilities, covering the fundamental requirements.
Why this server?
This server is a strong match for PostgreSQL, focusing on advanced database management features including 'schema management' and query capabilities, which align closely with DDL and data querying requirements.
Why this server?
This server focuses on modern database management (PostgreSQL and MongoDB mentioned) supporting automatic schema discovery and safe data operations, implying strong support for the management and querying aspects needed for DDL and indexing.