SchemaCrawler AI

The SchemaCrawler AI MCP Server enables natural language interaction with your database schema using an MCP client in "Agent" mode. It allows users to explore tables, columns, foreign keys, triggers, stored procedures and more simply by asking questions like "Explain the code for the interest calculation stored procedure". You can also ask it to help with SQL, since it knows your schema. This is ideal for developers, DBAs, and data analysts who want to streamline schema comprehension and query development without diving into dense documentation.

683

8 Tools

Packaged by

Requires Configuration

Requires Secrets

Add to Docker Desktop

Version 4.43 or later needs to be installed to add the server automatically

Overview Tools (8)Config Manual installation

Docker Hub⁠Github repository⁠

You can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

See client instructions below for how to connect the MCP Toolkit gateway to each client.

https://claude.ai/download⁠

Connect the MCP Toolkit gateway to Claude Desktop using:

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

Restart Claude Desktop for the changes to take effect.

Open Claude Settings.
Select the Developer tab.
Select the Edit Config button.
Add schemacrawler-ai to the mcpServers section:

{
  "mcpServers": {
    "schemacrawler-ai": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SCHCRWLR_JDBC_URL",
        "-e",
        "SCHCRWLR_SERVER",
        "-e",
        "SCHCRWLR_HOST",
        "-e",
        "SCHCRWLR_PORT",
        "-e",
        "SCHCRWLR_DATABASE",
        "-e",
        "SCHCRWLR_INFO_LEVEL",
        "-e",
        "SCHCRWLR_LOG_LEVEL",
        "-e",
        "SCHCRWLR_DATABASE_USER",
        "-e",
        "SCHCRWLR_DATABASE_PASSWORD",
        "-v",
        "/local-directory:/local-directory",
      - mcp/schemacrawler-ai@sha256:529bcf70c268d5763dc817effcdd4561c6f9c53a08dc6884bee35b5df1659941
      ],
      "env": {
        "SCHCRWLR_JDBC_URL": "{{schemacrawler-ai.url_connection.jdbc_url}}",
        "SCHCRWLR_SERVER": "{{schemacrawler-ai.server_connection.server}}",
        "SCHCRWLR_HOST": "{{schemacrawler-ai.server_connection.host}}",
        "SCHCRWLR_PORT": "{{schemacrawler-ai.server_connection.port}}",
        "SCHCRWLR_DATABASE": "{{schemacrawler-ai.server_connection.database}}",
        "SCHCRWLR_INFO_LEVEL": "{{schemacrawler-ai.general.info_level}}",
        "SCHCRWLR_LOG_LEVEL": "{{schemacrawler-ai.general.log_level}}",
        "SCHCRWLR_DATABASE_USER": "SA",
        "SCHCRWLR_DATABASE_PASSWORD": "super_S3cret"
      }
    }
  }
}

https://www.continue.dev/⁠

Connect the MCP Toolkit gateway to Continue.dev using:

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

In your global .continue folder (~/.continue on Mac/Linux, %USERPROFILE%.continue on Windows), create a a folder called mcpServers.
Create a new file named schemacrawler-ai.yaml in the mcpServers folder.
Write the following contents to schemacrawler-ai.yaml and save.

name: Docker MCP SchemaCrawler AI
version: 1.0.1
schema: v1

mcpServers:
  - name: SchemaCrawler AI
    command: docker
    args:
      - run
      - --rm
      - -i
      - -e
      - SCHCRWLR_JDBC_URL
      - -e
      - SCHCRWLR_SERVER
      - -e
      - SCHCRWLR_HOST
      - -e
      - SCHCRWLR_PORT
      - -e
      - SCHCRWLR_DATABASE
      - -e
      - SCHCRWLR_INFO_LEVEL
      - -e
      - SCHCRWLR_LOG_LEVEL
      - -e
      - SCHCRWLR_DATABASE_USER
      - -e
      - SCHCRWLR_DATABASE_PASSWORD
      - -v
      - /local-directory:/local-directory
      - mcp/schemacrawler-ai@sha256:529bcf70c268d5763dc817effcdd4561c6f9c53a08dc6884bee35b5df1659941
    env:
      SCHCRWLR_JDBC_URL: "{{schemacrawler-ai.url_connection.jdbc_url}}"
      SCHCRWLR_SERVER: "{{schemacrawler-ai.server_connection.server}}"
      SCHCRWLR_HOST: "{{schemacrawler-ai.server_connection.host}}"
      SCHCRWLR_PORT: "{{schemacrawler-ai.server_connection.port}}"
      SCHCRWLR_DATABASE: "{{schemacrawler-ai.server_connection.database}}"
      SCHCRWLR_INFO_LEVEL: "{{schemacrawler-ai.general.info_level}}"
      SCHCRWLR_LOG_LEVEL: "{{schemacrawler-ai.general.log_level}}"
      SCHCRWLR_DATABASE_USER: "SA"
      SCHCRWLR_DATABASE_PASSWORD: "super_S3cret"

https://www.cursor.com/downloads⁠

Connect the MCP Toolkit gateway to Cursor using:

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

Open Cursor Settings.
Select the MCP Tools tab.
Select the New Custom MCP button.
Add schemacrawler-ai to the mcpServers section:

{
  "mcpServers": {
    "schemacrawler-ai": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SCHCRWLR_JDBC_URL",
        "-e",
        "SCHCRWLR_SERVER",
        "-e",
        "SCHCRWLR_HOST",
        "-e",
        "SCHCRWLR_PORT",
        "-e",
        "SCHCRWLR_DATABASE",
        "-e",
        "SCHCRWLR_INFO_LEVEL",
        "-e",
        "SCHCRWLR_LOG_LEVEL",
        "-e",
        "SCHCRWLR_DATABASE_USER",
        "-e",
        "SCHCRWLR_DATABASE_PASSWORD",
        "-v",
        "/local-directory:/local-directory",
      - mcp/schemacrawler-ai@sha256:529bcf70c268d5763dc817effcdd4561c6f9c53a08dc6884bee35b5df1659941
      ],
      "env": {
        "SCHCRWLR_JDBC_URL": "{{schemacrawler-ai.url_connection.jdbc_url}}",
        "SCHCRWLR_SERVER": "{{schemacrawler-ai.server_connection.server}}",
        "SCHCRWLR_HOST": "{{schemacrawler-ai.server_connection.host}}",
        "SCHCRWLR_PORT": "{{schemacrawler-ai.server_connection.port}}",
        "SCHCRWLR_DATABASE": "{{schemacrawler-ai.server_connection.database}}",
        "SCHCRWLR_INFO_LEVEL": "{{schemacrawler-ai.general.info_level}}",
        "SCHCRWLR_LOG_LEVEL": "{{schemacrawler-ai.general.log_level}}",
        "SCHCRWLR_DATABASE_USER": "SA",
        "SCHCRWLR_DATABASE_PASSWORD": "super_S3cret"
      }
    }
  }
}

https://code.visualstudio.com/⁠

Define the MCP Toolkit gateway as a server in the MCP Visual Studio Code user settings. Learn more⁠

"mcp": {
  "servers": {
    "MCP_DOCKER": {
      "command": "docker",
      "args": [
        "mcp",
        "gateway",
        "run"
      ],
      "type": "stdio"
    }
  }
}

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

https://docs.docker.com/ai/gordon/⁠

Connect the MCP Toolkit gateway to Gordon using:

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

Manual installation

You can install the MCP server using:

Installation for

Related servers

Explore

Contribute

SchemaCrawler AI

mcp

683

8 Tools

Packaged by

Requires Configuration

Requires Secrets

Add to Docker Desktop

Version 4.43 or later needs to be installed to add the server automatically

Overview Tools (8)Config Manual installation

Docker Hub⁠Github repository⁠

You can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

See client instructions below for how to connect the MCP Toolkit gateway to each client.

https://claude.ai/download⁠

Connect the MCP Toolkit gateway to Claude Desktop using:

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

Restart Claude Desktop for the changes to take effect.

Open Claude Settings.
Select the Developer tab.
Select the Edit Config button.
Add schemacrawler-ai to the mcpServers section:

{
  "mcpServers": {
    "schemacrawler-ai": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SCHCRWLR_JDBC_URL",
        "-e",
        "SCHCRWLR_SERVER",
        "-e",
        "SCHCRWLR_HOST",
        "-e",
        "SCHCRWLR_PORT",
        "-e",
        "SCHCRWLR_DATABASE",
        "-e",
        "SCHCRWLR_INFO_LEVEL",
        "-e",
        "SCHCRWLR_LOG_LEVEL",
        "-e",
        "SCHCRWLR_DATABASE_USER",
        "-e",
        "SCHCRWLR_DATABASE_PASSWORD",
        "-v",
        "/local-directory:/local-directory",
      - mcp/schemacrawler-ai@sha256:529bcf70c268d5763dc817effcdd4561c6f9c53a08dc6884bee35b5df1659941
      ],
      "env": {
        "SCHCRWLR_JDBC_URL": "{{schemacrawler-ai.url_connection.jdbc_url}}",
        "SCHCRWLR_SERVER": "{{schemacrawler-ai.server_connection.server}}",
        "SCHCRWLR_HOST": "{{schemacrawler-ai.server_connection.host}}",
        "SCHCRWLR_PORT": "{{schemacrawler-ai.server_connection.port}}",
        "SCHCRWLR_DATABASE": "{{schemacrawler-ai.server_connection.database}}",
        "SCHCRWLR_INFO_LEVEL": "{{schemacrawler-ai.general.info_level}}",
        "SCHCRWLR_LOG_LEVEL": "{{schemacrawler-ai.general.log_level}}",
        "SCHCRWLR_DATABASE_USER": "SA",
        "SCHCRWLR_DATABASE_PASSWORD": "super_S3cret"
      }
    }
  }
}

https://www.continue.dev/⁠

Connect the MCP Toolkit gateway to Continue.dev using:

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

In your global .continue folder (~/.continue on Mac/Linux, %USERPROFILE%.continue on Windows), create a a folder called mcpServers.
Create a new file named schemacrawler-ai.yaml in the mcpServers folder.
Write the following contents to schemacrawler-ai.yaml and save.

name: Docker MCP SchemaCrawler AI
version: 1.0.1
schema: v1

mcpServers:
  - name: SchemaCrawler AI
    command: docker
    args:
      - run
      - --rm
      - -i
      - -e
      - SCHCRWLR_JDBC_URL
      - -e
      - SCHCRWLR_SERVER
      - -e
      - SCHCRWLR_HOST
      - -e
      - SCHCRWLR_PORT
      - -e
      - SCHCRWLR_DATABASE
      - -e
      - SCHCRWLR_INFO_LEVEL
      - -e
      - SCHCRWLR_LOG_LEVEL
      - -e
      - SCHCRWLR_DATABASE_USER
      - -e
      - SCHCRWLR_DATABASE_PASSWORD
      - -v
      - /local-directory:/local-directory
      - mcp/schemacrawler-ai@sha256:529bcf70c268d5763dc817effcdd4561c6f9c53a08dc6884bee35b5df1659941
    env:
      SCHCRWLR_JDBC_URL: "{{schemacrawler-ai.url_connection.jdbc_url}}"
      SCHCRWLR_SERVER: "{{schemacrawler-ai.server_connection.server}}"
      SCHCRWLR_HOST: "{{schemacrawler-ai.server_connection.host}}"
      SCHCRWLR_PORT: "{{schemacrawler-ai.server_connection.port}}"
      SCHCRWLR_DATABASE: "{{schemacrawler-ai.server_connection.database}}"
      SCHCRWLR_INFO_LEVEL: "{{schemacrawler-ai.general.info_level}}"
      SCHCRWLR_LOG_LEVEL: "{{schemacrawler-ai.general.log_level}}"
      SCHCRWLR_DATABASE_USER: "SA"
      SCHCRWLR_DATABASE_PASSWORD: "super_S3cret"

https://www.cursor.com/downloads⁠

Connect the MCP Toolkit gateway to Cursor using:

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

Open Cursor Settings.
Select the MCP Tools tab.
Select the New Custom MCP button.
Add schemacrawler-ai to the mcpServers section:

{
  "mcpServers": {
    "schemacrawler-ai": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SCHCRWLR_JDBC_URL",
        "-e",
        "SCHCRWLR_SERVER",
        "-e",
        "SCHCRWLR_HOST",
        "-e",
        "SCHCRWLR_PORT",
        "-e",
        "SCHCRWLR_DATABASE",
        "-e",
        "SCHCRWLR_INFO_LEVEL",
        "-e",
        "SCHCRWLR_LOG_LEVEL",
        "-e",
        "SCHCRWLR_DATABASE_USER",
        "-e",
        "SCHCRWLR_DATABASE_PASSWORD",
        "-v",
        "/local-directory:/local-directory",
      - mcp/schemacrawler-ai@sha256:529bcf70c268d5763dc817effcdd4561c6f9c53a08dc6884bee35b5df1659941
      ],
      "env": {
        "SCHCRWLR_JDBC_URL": "{{schemacrawler-ai.url_connection.jdbc_url}}",
        "SCHCRWLR_SERVER": "{{schemacrawler-ai.server_connection.server}}",
        "SCHCRWLR_HOST": "{{schemacrawler-ai.server_connection.host}}",
        "SCHCRWLR_PORT": "{{schemacrawler-ai.server_connection.port}}",
        "SCHCRWLR_DATABASE": "{{schemacrawler-ai.server_connection.database}}",
        "SCHCRWLR_INFO_LEVEL": "{{schemacrawler-ai.general.info_level}}",
        "SCHCRWLR_LOG_LEVEL": "{{schemacrawler-ai.general.log_level}}",
        "SCHCRWLR_DATABASE_USER": "SA",
        "SCHCRWLR_DATABASE_PASSWORD": "super_S3cret"
      }
    }
  }
}

https://code.visualstudio.com/⁠

Define the MCP Toolkit gateway as a server in the MCP Visual Studio Code user settings. Learn more⁠

"mcp": {
  "servers": {
    "MCP_DOCKER": {
      "command": "docker",
      "args": [
        "mcp",
        "gateway",
        "run"
      ],
      "type": "stdio"
    }
  }
}

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

https://docs.docker.com/ai/gordon/⁠

Connect the MCP Toolkit gateway to Gordon using:

Once connected, you can install this MCP server using:

Note: You should still configure the server and specify required secrets after installing it.

Manual installation

You can install the MCP server using:

Installation for

SchemaCrawler AI

Related servers

Couchbase

MongoDB

Neon

Astra DB

SchemaCrawler AI

Related servers

Couchbase

MongoDB

Neon

Astra DB

SchemaCrawler AI

Docker MCP CLIInstall this MCP server for all connected MCP clients

Claude DesktopConfigure Claude Desktop to connect to this MCP server

Continue.devConfigure Continue.dev to connect to this MCP server

CursorConfigure Cursor to connect to this MCP server

Visual Studio CodeConfigure Visual Studio Code to connect to this MCP server

GordonConfigure Gordon to connect to this MCP server

Related servers

Couchbase

MongoDB

Neon

Astra DB

SchemaCrawler AI

Docker MCP CLIInstall this MCP server for all connected MCP clients

Claude DesktopConfigure Claude Desktop to connect to this MCP server

Continue.devConfigure Continue.dev to connect to this MCP server

CursorConfigure Cursor to connect to this MCP server

Visual Studio CodeConfigure Visual Studio Code to connect to this MCP server

GordonConfigure Gordon to connect to this MCP server

Related servers

Couchbase

MongoDB

Neon

Astra DB