aegis-dq-aegis-dq
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.
- Score
- 52.1352 signals
- Evidence
- 4 stars · 2 forks
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
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.
When to use it
When an agent needs the "Data Platforms" capability this MCP server exposes.
Source
Migrated from the awesome-mcp-servers navigation directory (category: Data Platforms). See https://github.com/aegis-dq/aegis-dq.