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    • A
      license
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      quality
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      A universal database gateway MCP server that enables AI assistants to connect to and query multiple databases (PostgreSQL, MySQL, MariaDB, SQL Server, SQLite) with support for schema exploration, SQL execution, and secure connections via SSH tunnels.
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    • A
      license
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      maintenance
      Provides universal database operations for AI assistants through MCP, supporting 40+ databases including PostgreSQL, MySQL, MongoDB, Redis, and SQLite with built-in introspection tools for schema exploration.
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    • A
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      C
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      Enables AI assistants to securely interact with PostgreSQL databases through a standardized MCP interface, supporting SQL queries, schema inspection, and database management.
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    • F
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      -

    TDQS

    B3.4/5.0

    Scored across 22 tools

    Disambiguation4/5

    Most tools pair a clear resource with a distinct action, so connection listing, testing, schema inspection, and query execution are easy to separate. The main source of ambiguity is execute_query vs execute_in_transaction (and to a lesser degree write_query), though the descriptions do state read-only vs transactional context.

    Naming Consistency5/5

    All tools use lowercase snake_case with a verb_noun pattern like list_connections, create_table, and commit_transaction. The few phrases like execute_in_transaction or get_ssh_tunnel_info still follow the convention and remain predictable.

    Tool Count3/5

    22 tools is on the heavy side and falls into the 16-25 borderline range. The count is defensible for a broad SQL/connection-management server, but the diagnostic and insight tools make the surface feel larger than a typical focused MCP server.

    Completeness4/5

    The toolset covers the main database lifecycle: connections, read/write SQL, transaction control, table DDL, schema inspection, export, and query planning. Gaps such as creating/deleting connections or managing indexes/views are present, but the core workflows are well supported.