SchemaCrawler-MCP-Server-Usage
Find out how to use SchemaCrawler AI MCP Server
- • Core MCP protocol features implemented (25/40)
- • Room for improvement in GitHub community
- • Optimal dependency management (20/20)
- • Room for improvement in deployment maturity
- • Documentation (8/8)
- • Archestra MCP Trust score badge is missing
{
"schemacrawler-schemacrawler-ai-docker": {
"command": "docker",
"args": [
"compose",
"-f",
"schemacrawler-mcpserver.yaml",
"up",
"-d"
],
"env": {}
},
"schemacrawler-schemacrawler-ai-docker-configured": {
"command": "docker",
"args": [
"compose",
"-f",
"schemacrawler-mcpserver.yaml",
"up",
"-d"
],
"env": {}
}
}
SchemaCrawler AI MCP Server: Usage
[!NOTE]
- Please see the SchemaCrawler website for more details.
- Explore the SchemaCrawler command-line with a live online tutorial.
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 on the Docker MCP Catalog as a Docker-verified image.
Prerequisites
- Install supporting software
- Docker
- Docker Compose
- Visual Studio Code
- Read Use MCP servers in VS Code
- Clone this project, and open it in Visual Studio Code
Getting Started
Refer to the getting started documentation.
[](https://archestra.ai/mcp-catalog/schemacrawler__schemacrawler-mcp-server-usage)
SchemaCrawler AI MCP Server: Usage
[!NOTE]
- Please see the SchemaCrawler website for more details.
- Explore the SchemaCrawler command-line with a live online tutorial.
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 on the Docker MCP Catalog as a Docker-verified image.
Prerequisites
- Install supporting software
- Docker
- Docker Compose
- Visual Studio Code
- Read Use MCP servers in VS Code
- Clone this project, and open it in Visual Studio Code
Getting Started
Refer to the getting started documentation.