Skillget

SchemaCrawler-AI-MCP-Server-Usage

skill
Security Audit
Pass
Health Pass
  • License — License: EPL-2.0
  • Description — Repository has a description
  • Active repo — Last push 8 days ago
  • Community trust — 25 GitHub stars
Code Pass
  • Code scan — Scanned 7 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This skill provides instructions and guidance on how to use the SchemaCrawler AI MCP Server. It acts as a reference or tutorial rather than a standalone executable application.

Security Assessment
The tool was scanned across 7 files, and no dangerous patterns were detected. It does not request any risky permissions, contains no hardcoded secrets, and appears to neither execute shell commands nor make unauthorized network requests. Because it is primarily an informational resource rather than a highly privileged application, the overall security risk is rated as Low.

Quality Assessment
The project is licensed under the EPL-2.0, which is a well-known, OSI-approved open-source license. It is actively maintained, with the most recent updates pushed today. While it has a modest community footprint with 24 GitHub stars, the repository includes a clear description and passes all standard health checks.

Verdict
Safe to use.
SUMMARY

Find out how to use SchemaCrawler AI MCP Server

README.md

:star: Star it :arrow_heading_up: if you love it!

Build
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Docker MCP Pulls
GitHub Repo stars

SchemaCrawler AI MCP Server: Usage

[!NOTE]

About

SchemaCrawler is a free database schema discovery and comprehension tool. SchemaCrawler has a good mix of useful features for data governance. You can search for database schema objects using regular expressions, and output the schema and data in a readable text format.

This is a bare project that acts as an MCP client for the SchemaCrawler AI MCP Server for use in "Agent" mode. You can find documentation on how to use the server here.

The SchemaCrawler AI MCP Server is available as an official Docker-verified image from the Docker MCP Catalog at mcp/schemacrawler-ai. Early release versions are published at schemacrawler/schemacrawler-ai.

Prerequisites

  1. Install supporting software
    • Docker
    • Docker Compose
    • Visual Studio Code
  2. Read Use MCP servers in VS Code
  3. Clone this project, and open it in Visual Studio Code

Getting Started

Refer to the getting started documentation, and more documentation in docs/.

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