📋 Copy Blueprint Command { } Inspect JSON API Ground-Truth Source ↗

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor

### 1. Problem & Operational Bottleneck Trace column renames or type changes in SQL models against downstream dashboards and scheduled Google Sheets reports before merge. Built and battle-tested in production workflows by **@steipete** (Peter Steinberger (@steipete)). ### 2. Target Architecture & Required Stack - **Postgres MCP** - **GitHub MCP** - **Google Sheets MCP** ### 3. Step-by-Step Implementation Blueprint 1. Connect Postgres MCP, GitHub MCP, Google Sheets MCP and verify read-only access to the target workspace. 2. Run the discovery query for 'Warehouse SQL Lineage & Downstream BI Breakage Guard' to establish baseline metrics and identify anomalies. 3. Generate a structured remediation or execution artifact with full source citations and diffs. 4. Stage any mutating actions behind an explicit human approval gate and verify final state. ### 4. Copy-Paste Agent Execution Prompt ```markdown Execute the 'Warehouse SQL Lineage & Downstream BI Breakage Guard' (data-dbt-model-lineage-and-schema-change-guard) blueprint with Postgres MCP, GitHub MCP, Google Sheets MCP. Goal: Trace column renames or type changes in SQL models against downstream dashboards and scheduled Google Sheets reports before merge. First inspect live state in read-only mode, validate all identifiers and metrics, and output a concrete action plan with verification commands before making any changes. ``` ### 5. Verification & Safety Guardrails - **Human-in-the-Loop Gate:** All external communications, production database mutations, and billing actions stage an explicit review diff before execution. - **Deterministic Telemetry:** Every run logs structured JSON output, latency metrics, and source citations so operators can audit every decision.

Tags: #postgres-mcp#github-mcp#google-sheets-mcp#blueprint#engineering

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