# SchemaCrawler AI

> Use this tool when you need to discover and analyze database schemas using natural language queries, solving problems related to database understanding and SQL development. It provides interactive access to database metadata, including tables, relationships, and stored procedures, and offers comprehensive schema understanding and SQL assistance. Ideal for use cases where database schema complexity needs to be navigated and understood quickly and efficiently.

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

## Description

Enables database schema discovery and analysis through natural language queries. Provides interactive access to database metadata including tables, relationships, keys, stored procedures, and functions. Built on the SchemaCrawler framework for comprehensive schema understanding and SQL assistance.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/schemacrawler-ai)
- **Repository:** <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-ai"
    }
  }
}
```

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