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Alternatives to pg-context

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    Related Servers

    • A
      license
      A
      quality
      D
      maintenance
      A Model Context Protocol (MCP) server for PostgreSQL that provides safe, structured access to your database for AI assistants, enabling health checks, index tuning, lock analysis, and more.
      13
      123 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for PostgreSQL, providing schema discovery, catalog introspection, read-only querying, and optional safe write operations to AI assistants.
      31 npm
      PolyForm Noncommercial 1.0.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol server that provides AI assistants with secure, read-only access to PostgreSQL databases while offering comprehensive tools for schema exploration, query validation, and performance optimization.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that enables AI assistants to interact with PostgreSQL databases by executing SQL queries and inspecting database schemas. It provides tools for standardized database exploration and management through the Model Context Protocol.
      -
    • A
      license
      A
      quality
      D
      maintenance
      A Model Context Protocol (MCP) server that gives AI assistants deep visibility into databases, inspecting schemas, detecting index problems, analyzing table bloat, and explaining query plans across PostgreSQL, MySQL, and SQLite.
      9
      68 npm
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      An MCP server that gives AI agents direct read-only access to PostgreSQL databases, enabling natural language analytics through tools for schema exploration, querying, trend analysis, and data quality checks.
      11
      5
      MIT

    TDQS

    A4/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of PostgreSQL database introspection: schemas, tables, relationships, indexes, query execution, performance stats, and extensions. There is no overlap in purpose.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case (e.g., list_schemas, describe_table, read_query), making the API predictable and easy to navigate.

    Tool Count5/5

    With 12 tools, the server covers the key areas of database analysis without being bloated. Each tool serves a distinct role, and the count is appropriate for the domain.

    Completeness5/5

    The set covers schema exploration, table details, indexing, query analysis, performance monitoring, and extension information. No obvious gaps for a read-only database context server.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues