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SchemaCrawler MCP Server Usage

Community Data and databases

Connect to any relational database to get valid SQL and ask questions about the schema, such as what a column prefix means.

Source code Documentation

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. SchemaCrawler AI MCP Server: Usage
  2. About
  3. Prerequisites
  4. Getting Started

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SchemaCrawler AI MCP Server: Usage

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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 Docker image is available 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/.

Frequently asked questions

What is SchemaCrawler MCP Server Usage?

Connect to any relational database to get valid SQL and ask questions about the schema, such as what a column prefix means.

How do I install SchemaCrawler MCP Server Usage?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is SchemaCrawler MCP Server Usage open source?

Yes. Its code is on GitHub under the EPL-2.0 license.

Who maintains SchemaCrawler MCP Server Usage?

It is published by schemacrawler. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.