← Back to leaderboard
/100
Unscored ○ Unscored 00

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.

BigQuery PostgreSQL
Unscored visibility — 0/0 applicable dimensions scored
○ Schema Quality — Protocol — Reliability ○ Docs & Maintenance ○ Security Hygiene — Schema Interpretability
Schema Quality
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
25% weight
Security Hygiene
33% weight
30-Day Trend
Embed Badge

Add this to your README to display your MCP Scoreboard grade:

MCP Score Badge
[![MCP Score](https://mcpscoreboard.com/badge/5c96312d-6071-488f-add2-0d55685662b2.svg)](https://mcpscoreboard.com/server/5c96312d-6071-488f-add2-0d55685662b2/)