# SchemaCrawler-AI

> SchemaCrawler-AI — schemacrawler-schemacrawler-ai. Use this tool when you need to automatically discover and understand the structure of a database, solving problems of manual schema documentation and version control. SchemaCrawler-AI takes database connections as input and generates detailed schema reports as output, making it ideal for data engineers and developers working with complex databases. It integrates with Git for version control and collaboration, providing a comprehensive solution for database schema management.

Canonical page: https://skillsregistry.net/skills/schemacrawler-schemacrawler-ai  
JSON: https://api.skillsregistry.net/v1/skills/schemacrawler-schemacrawler-ai

## Description

Free database schema discovery and comprehension tool

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/schemacrawler/SchemaCrawler-AI)

## 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": "schemacrawler-schemacrawler-ai"
    }
  }
}
```

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

---
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