MCP Database Manager

MCP Database Manager

Enables LLM agents to perform CRUD operations across multiple databases including PostgreSQL, MySQL, and SQL Server using SQLAlchemy. It features configurable permission management and secure connection handling with automatic password redaction.

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README

MCP Database Manager

An MCP server that enables LLM agents to perform CRUD operations across multiple databases.

Features

  • Multi-Database Support
  • Permission Management (Read-only by default)
  • SQLAlchemy Integration
  • list_connections redacts passwords from connection URLs in its output

Database Support

This MCP server supports multiple databases. You can enable specific database drivers using installation extras:

Extra Database Drivers Installed
postgres PostgreSQL psycopg2-binary
mysql MySQL pymysql, cryptography
mssql SQL Server pymssql
all All of the above All drivers

Configuration

The configuration file is located at:

  • ~/.mcp-database-manager/config.yaml (on all platforms)

Example config.yaml:

connections:
  - name: "main_db"
    url: "sqlite:///./main.db"
    readonly: true

Cursor Configuration

To use this MCP server in Cursor, add the following to your MCP settings (Settings > Features > MCP):

Option 1: Local Development (Recommended for debugging)

Use this if you have the source code locally and want to test changes immediately.

{
  "mcpServers": {
    "database-manager": {
      "command": "uv",
      "args": [
        "run",
        "--extra",
        "all",
        "mcp-database-manager"
      ],
      "cwd": "/absolute/path/to/mcp-database-manager"
    }
  }
}

Note: Replace /absolute/path/to/mcp-database-manager with the actual path to your project directory.

Option 2: Using PyPI (Published version)

Use this to run the stable version published on PyPI without cloning the repository.

{
  "mcpServers": {
    "database-manager": {
      "command": "uvx",
      "args": [
        "--from",
        "mcp-database-manager[all]",
        "mcp-database-manager"
      ]
    }
  }
}

Troubleshooting

If you see "Module not found" errors, ensure you are using uv run which handles the virtual environment automatically.

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