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guarded-sql-mcp

guarded-sql-mcp

by JimmyAlter

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    • A
      license
      A
      quality
      B
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      Enables AI assistants to discover allowed PostgreSQL schemas, run parameterized SELECT queries, and inspect query plans safely through parser-checked read-only transactions, timeouts, row caps, and role-based access controls.
      4
      MIT
    • F
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      Enables LLM agents to explore and query a Postgres database through secure, read-only tools.
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    • A
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      Provides a read-only PostgreSQL SQL surface for LLM agents via MCP, with defense-in-depth security layers for safe database queries.
      236 PyPI
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives AI agents read-only access to Postgres with parser-checked queries, hidden tables and columns, row limits and timeouts, caller-bound Row-Level Security, and a tamper-evident audit log.
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides a secure, schema-aware PostgreSQL database agent for LLMs, enabling natural language queries and validated SQL execution with strong security guardrails.
      23 npm
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    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to query PostgreSQL databases securely with read-only defaults, PII masking, rate limiting, and human-approved, expiring mutation tokens.
      9
      1
      Apache 2.0

    TDQS

    A3.8/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct resource or query need: sites, device search, single device, people search, software, stale devices, and open tickets. The only potential overlap between search_devices and stale_devices is resolved by stale_devices' unique time-since-check-in criterion.

    Naming Consistency3/5

    Four tools follow a clear verb_noun pattern (list_sites, search_devices, get_device, find_people), but device_software, stale_devices, and open_tickets are noun phrases with no leading verb. Snake_case is consistent, but the overall convention is mixed.

    Tool Count5/5

    Seven tools is well-scoped for a read-only IT asset and ticketing query server. Each tool addresses a distinct query dimension without redundancy or bloat.

    Completeness4/5

    The surface covers core read queries across sites, devices, people, software, and tickets, which is strong for a guarded SQL query server. Minor gaps include no ticket detail/closed-ticket query, no person detail beyond search, and no write operations.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues