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SQL Analytics and dbt Lab

Setuproll editorial@setuproll
88.0Overall score

Connects the agent to a real warehouse so it validates queries against live schemas, then models transformations as tested dbt layers instead of one-off scripts. For data folks who want analytics that survive a schema change and a second reader.

88.0Score
5Components

Install this build

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terminal
claude mcp add postgres -- npx -y @modelcontextprotocol/server-postgres

Components

Model

  • Claude Opus 4.8

MCP servers

  • postgres
  • filesystem
  • github

Subagents

  • query-author
  • schema-validator
  • metric-reviewer

Hooks

  • PostToolUse: explain analyze
  • pre-commit: dbt test

Rules

  • Validate column names against the live schema
  • Define metrics once, reuse everywhere
  • Every model gets a test and a description

Summary

Connects the agent to a real warehouse so it validates queries against live schemas, then models transformations as tested dbt layers instead of one-off scripts. For data folks who want analytics that survive a schema change and a second reader.

88.0 score

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