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govern-agents

sql-steward

by govern-agents
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Python
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Alternatives to sql-steward

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    Related Servers

    • sql-mcp-server

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    • RunContext

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      Enables AI agents to understand and query your database safely by providing a semantic layer of metadata, with tools to search, explain, validate, and generate safe SQL.
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    • Midplane by midplaneai

      Midplaneofficial

      midplaneai
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      quality
      A
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      SQL guardrails for AI agents, sitting between the agent and Postgres to enforce policies, block destructive queries, and audit all access.
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    • sqlserver-semantic-mcp

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      quality
      A
      maintenance
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      3
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    • dst by get-dst

      dstofficial

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      A
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      quality
      A
      maintenance
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      Apache 2.0

    • SQLGuard MCP

      Advaith789
      A
      license
      Not graded
      quality
      C
      maintenance
      Enforces safety and governance for SQL queries executed by AI agents, providing read-only enforcement, cost estimation, and audit trails.
      Apache 2.0
    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

    A4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool maps to a distinct task: listing checks, executing checks, verifying audit integrity, and computing metrics. No two tools have overlapping purposes, so an agent can select unambiguously.

    Naming Consistency4/5

    list_checks, run_checks, and get_metric follow a clear verb_noun pattern, but audit_verify breaks the pattern by leading with the noun. This is a minor inconsistency rather than a chaotic mix.

    Tool Count5/5

    Four tools is well-scoped for a focused SQL stewardship server: each tool covers a necessary function without redundancy or bloat.

    Completeness4/5

    The read-only governance surface is well covered: checks can be listed and run, audit integrity can be verified, and approved metrics can be computed. Minor gaps exist for those expecting per-check execution or metric catalog details, but the core workflows have no dead ends.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources