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postgres-schema-mcp

by eric-patton

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to safely interact with PostgreSQL databases through read-only operations, providing schema discovery, table inspection, and query execution capabilities with structured context awareness.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI clients to explore a PostgreSQL database schema and run read-only queries, including listing tables, describing columns, executing SELECT queries, and retrieving foreign key relationships.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables secure read-only access to PostgreSQL databases, allowing users to list tables, query schemas, execute SELECT statements, and inspect table structures through natural language interactions.
      551 npm
      4
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Enables AI agents to inspect and query PostgreSQL databases safely, with features like listing tables, retrieving schemas, and running read-only SQL queries.
      3
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query a PostgreSQL database through a small set of controlled, read-only tools for schema inspection, row lookup, and aggregate statistics.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides read-only access to PostgreSQL databases, enabling LLMs to inspect database schemas and execute read-only SQL queries.
      113,568 npm
      MIT

    TDQS

    A4.3/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: schema discovery, table listing, detailed table description, column search, relationship traversal, data preview, query execution, query planning, and documentation export. There is no practical overlap; even sample_rows and run_select differ in that one is a convenience for previewing a table and the other is for arbitrary read-only queries.

    Naming Consistency4/5

    Eight of nine tools follow a clear verb_noun snake_case pattern (list_schemas, describe_table, run_select, etc.), making the set predictable. The single exception is table_relationships, which uses a noun_noun form, creating a minor inconsistency without causing confusion.

    Tool Count5/5

    Nine tools is well-scoped for a PostgreSQL schema and querying server. Each tool fills a distinct role in the workflow from schema discovery to query tuning, and none feel redundant or bolted on.

    Completeness5/5

    The tool surface covers the full read-only lifecycle: schema/table discovery, column search, relationship mapping, data sampling, safe SELECT execution, query planning, and exporting a data dictionary. There are no obvious dead ends for an agent exploring or querying a database, and the explicit lack of write mode is a deliberate boundary rather than a gap.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues