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Advaith789

SQLGuard MCP

by Advaith789

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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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    • A
      license
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      Secure SQL proxy for AI agents. Translates natural language to safe SQL via Claude, validates at the AST level (SELECT-only, no DDL/DML), enforces per-agent row-level security, and audit-logs every query.
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      license
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      quality
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      maintenance
      Connects AI assistants to PostgreSQL databases with production-grade safety features including query validation, guarded writes, rate limiting, and audit logging.
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    • A
      license
      A
      quality
      A
      maintenance
      Lets AI agents estimate the cost and result size of BigQuery and Snowflake queries before they run, then execute them only within per-call byte, row, and dollar bounds. Estimates are labeled with an accuracy tier so agents never over-trust an approximate figure.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to query governed data warehouses through plain language, returning grounded answers with SQL, confidence grades, and signed receipts while enforcing access, testing, and audit controls.
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to safely query PostgreSQL by intercepting and auditing every generated SQL statement before it reaches the database, blocking destructive commands like DROP/TRUNCATE, unbounded DELETE/UPDATE statements, stacked queries, and SQL injection probes. It exposes tools for validating query safety and enforcing a strict read-only (SELECT/EXPLAIN) policy.
      MIT