SchemaCrawler-AI-MCP-Server-Usage

skill
Guvenlik Denetimi
Gecti
Health Gecti
  • License — License: EPL-2.0
  • Description — Repository has a description
  • Active repo — Last push 3 days ago
  • Community trust — 23 GitHub stars
Code Gecti
  • Code scan — Scanned 7 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool is a skill pack designed to help developers understand and integrate the SchemaCrawler AI MCP server into their workflows. It provides instructions and usage examples for various AI-compatible command-line interfaces.

Security Assessment
The overall risk is rated as Low. A light code scan across seven files found no dangerous patterns, hardcoded secrets, or requests for dangerous permissions. Because the repository appears to function primarily as a guide rather than an executable application, there are no indications that it accesses sensitive data, makes unauthorized network requests, or executes shell commands on your machine.

Quality Assessment
The project demonstrates positive maintenance and community health. It was updated just a few days ago, indicating active development. It operates under the EPL-2.0 (Eclipse Public License), which is a well-known, permissive open-source license suitable for most commercial and personal projects. Additionally, it has garnered 23 GitHub stars, pointing to a baseline level of community trust and user validation.

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!

Docker 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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