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pg-readonly-mcp

by MadlyFriese
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Python
Remote

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    Related Servers

    • PostgreSQL MCP Server

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      Enables secure, read-only PostgreSQL database interaction through natural language, with automatic database discovery and connection management.
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    • PostgreSQL MCP Server

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      Enables read-only interaction with PostgreSQL databases through natural language queries, supporting dynamic connections and secure query validation.
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    • Enterprise PostgreSQL MCP

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      quality
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      maintenance
      Enables secure read-only interactions with PostgreSQL databases through natural language. Provides database inspection, table listing, and SQL query execution with built-in security validation.
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    • db-readonly-mcp

      david-mogbeyi
      A
      license
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      quality
      C
      maintenance
      Enables an AI assistant to run guarded, read-only SQL queries against a Postgres database with enforced limits and validation.
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    • Text2SQL-MCP

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    • MCP PostgreSQL Server

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      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.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct operation: listing schemas vs. listing tables vs. describing a table vs. sampling rows vs. running arbitrary queries. No overlap exists.

    Naming Consistency5/5

    All five tools follow a consistent verb_noun pattern with underscores (e.g., list_schemas, describe_table), providing clear and predictable naming.

    Tool Count5/5

    Five tools is an ideal number for a read-only database interface—covering all essential operations without unnecessary complexity.

    Completeness5/5

    The toolset covers the full read-only workflow: schema discovery, table listing, table descriptions, data sampling, and arbitrary SELECT queries. No obvious gaps.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources