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[](https://hub.docker.com/r/schemacrawler/schemacrawler-ai/)

# <img src="https://raw.githubusercontent.com/schemacrawler/SchemaCrawler/main/schemacrawler-website/src/site/resources/images/schemacrawler_logo.png" height="100px" width="100px" valign="middle"/> SchemaCrawler AI MCP Server: Usage
> [!NOTE]
> * Please see the [SchemaCrawler website](https://www.schemacrawler.com/) for more details.
## 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](https://www.schemacrawler.com/schemacrawler-grep.html) 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](https://github.com/schemacrawler/SchemaCrawler-AI) for use in "Agent" mode. You can find documentation on how to use the server here.
The SchemaCrawler AI MCP Server is available as a Docker image [schemacrawler/schemacrawler-ai](https://hub.docker.com/repository/docker/schemacrawler/schemacrawler-ai). It is also available from the [the Docker MCP Catalog](https://hub.docker.com/mcp/server/schemacrawler-ai/overview) as a Docker-verified image.
## Prerequisites
1. Install supporting software
- Docker
- Docker Compose
- Visual Studio Code
2. Read [Use MCP servers in VS Code](https://code.visualstudio.com/docs/copilot/chat/mcp-servers)
3. Clone this project, and open it in Visual Studio Code
## Getting Started
Refer to the [getting started](../docs/getting-started.md) documentation, and more documentation in [docs/](../docs/index.md).
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