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aegis-dq/aegis-dq

aegis-dq/aegis-dq
MCP Server Maintained Other local

Agentic data quality framework that runs structured rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Every LLM decision is audit-logged with cost and latency.

C Quality 50/100 ★ 4 stars Updated 2mo ago Python
View on GitHub →

Installation

Example client config (verify package name in the repo README)

{
  "mcpServers": {
    "aegis-dq": {
      "command": "uvx",
      "args": ["aegis-dq"]
    }
  }
}

Quality score breakdown

Transparent heuristic — same formula for every entry. Total 50/100.

GitHub stars (log scale)7/40
Maintenance activity18/25
License present10/10
Official project0/10
Not archived5/5
Meaningful description5/5
Repo topics set5/5

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