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Advaith789

SQLGuard MCP

by Advaith789

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    • A
      license
      Not graded
      quality
      A
      maintenance
      SQL guardrails for AI agents, sitting between the agent and Postgres to enforce policies, block destructive queries, and audit all access.
      5
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to query Trino and Apache Pinot lakehouses under enforced governance, where every SQL statement is AST-validated, table-allowlisted, priced from the engine's own plan before it runs, and blocked or admitted against scan-byte and intermediate-row budgets. It also grounds agents with schema discovery tools, returns verified results with warnings instead of misleading answers, and records every tool call on an audit trail.
      3
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      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.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to query a Postgres database read-only through a policy layer rather than a raw connection string. Enforces table and column allowlists, row limits, mandatory predicates, PII masking and append-only audit logging, while refusing writes, joins, subqueries and unlisted functions.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Connects AI assistants to PostgreSQL databases with production-grade safety features including query validation, guarded writes, rate limiting, and audit logging.
      3
      MIT
    • 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.
      4
      327 PyPI
      1
      MIT