# aegis-dq

> Use this tool when you need to ensure data quality in your warehouses by running structured validation rules and identifying root causes of failures. It solves problems related to data inconsistencies and errors by providing SQL remediations and maintaining a full audit trail of AI-driven decisions. It takes in data from various warehouses and outputs validated data with proposed remediations, making it ideal for use cases where data accuracy and reliability are crucial.

Canonical page: https://skillsregistry.net/skills/aegis-dq-aegis-dq  
JSON: https://api.skillsregistry.net/v1/skills/aegis-dq-aegis-dq

## Description

Agentic data quality MCP server — runs structured validation rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Full audit trail of every AI decision.

## Trust

- **Trust score (0–1):** 0.32
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k2vrmtbc16)
- **Repository:** <https://github.com/aegis-dq/aegis-dq>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aegis-dq-aegis-dq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aegis-dq-aegis-dq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aegis-dq-aegis-dq/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt