DBeaver MCP Server

A Model Context Protocol (MCP) server that integrates with DBeaver to provide AI assistants access to 200+ database types through DBeaver's existing connections. This MCP server is designed to be production-ready and feature-complete for real-world usage with Claude, Cursor, and other MCP-compatible AI assistants.

🚀 Features

• Universal Database Support: Works with all 200+ database types supported by DBeaver
• Zero Configuration: Uses your existing DBeaver connections
• Secure: Leverages DBeaver's credential management
• Cross-Platform: Works on Windows, macOS, and Linux
• Production Ready: Full error handling, logging, and safety checks
• Resource Support: Browse table schemas through MCP resources
• Business Insights: Track and store analysis insights with tagging
• Multiple Export Formats: CSV, JSON export capabilities
• Schema Management: Complete DDL operations (CREATE, ALTER, DROP)
• Safety First: Built-in query validation and confirmation prompts
• Version Compatibility: Supports both legacy DBeaver (6.x) and modern DBeaver (21.x+) configurations

🔧 Version Compatibility

This MCP server automatically detects and supports both DBeaver configuration formats:

• Legacy DBeaver (6.x): Uses XML-based configuration in .metadata/.plugins/org.jkiss.dbeaver.core/
• Modern DBeaver (21.x+): Uses JSON-based configuration in General/.dbeaver/

The server will automatically detect your DBeaver version and use the appropriate configuration parser.

🛠️ Available Tools

📋 Prerequisites

• Node.js 18+
• DBeaver installed and configured with at least one connection
• Claude Desktop, Cursor, or another MCP-compatible client

🛠️ Installation

Quick Install (Recommended)

npm install -g dbeaver-mcp-server

Verify Installation

dbeaver-mcp-server --help

Manual Installation

git clone https://github.com/srthkdev/dbeaver-mcp-server.git
cd dbeaver-mcp-server
npm install
npm run build
npm link  # Makes the command available globally

🖥️ Configuration

Claude Desktop Configuration

{
  "mcpServers": {
    "dbeaver": {
      "command": "dbeaver-mcp-server",
      "env": {
        "DBEAVER_DEBUG": "false",
        "DBEAVER_TIMEOUT": "30000"
      }
    }
  }
}

Environment Variables

• DBEAVER_PATH: Path to DBeaver executable (auto-detected if not set)
• DBEAVER_TIMEOUT: Query timeout in milliseconds (default: 30000)
• DBEAVER_DEBUG: Enable debug logging (true/false)

💡 Usage Examples

Basic Operations

• List connections: "Show me all my database connections"
• Execute query: "Run this query on my PostgreSQL database: SELECT COUNT(*) FROM orders WHERE date > '2024-01-01'"
• Get schema: "What's the schema of the users table in my MySQL database?"
• Export data: "Export all customer data to CSV from my Oracle database"

Advanced Operations

• Schema management: "Create a new table called 'products' with columns id, name, price"
• Data analysis: "Find the top 10 customers by order value and save this insight"
• Safety checks: "I want to drop the test_table - make sure to confirm first"

Business Intelligence

• Track insights: "The Q4 sales data shows a 23% increase in mobile orders - tag this as 'quarterly-analysis'"
• Review analysis: "Show me all insights related to sales performance"

🔧 Resource Browsing

The server provides MCP resources for browsing database schemas:

• Browse table schemas directly in your MCP client
• Resources are automatically discovered from your DBeaver connections
• Provides structured schema information in JSON format

🛡️ Safety Features

• Query Validation: Automatic detection of dangerous operations
• Confirmation Requirements: Destructive operations require explicit confirmation
• Connection Validation: All connections are verified before operations
• Error Handling: Comprehensive error messages and logging
• Rate Limiting: Built-in timeouts to prevent runaway queries

🚀 Production Features

• Comprehensive Logging: Debug mode for troubleshooting
• Error Recovery: Graceful handling of connection failures
• Performance Monitoring: Query execution time tracking
• Business Context: Insight tracking for data analysis workflows
• Multi-format Export: Support for CSV and JSON export formats

🛠️ Development

Setup Development Environment

git clone https://github.com/srthkdev/dbeaver-mcp-server.git
cd dbeaver-mcp-server
npm install

Available Scripts

npm run build          # Build the project
npm run dev            # Watch mode for development
npm run clean          # Clean build artifacts
npm run start          # Start the server
npm run test           # Run tests (placeholder)
npm run lint           # Run linter (placeholder)

Publishing to npm

npm run publish        # Interactive publish script
npm run publish:patch  # Quick patch version (1.1.3 → 1.1.4)
npm run publish:minor  # Quick minor version (1.1.3 → 1.2.0)
npm run publish:major  # Quick major version (1.1.3 → 2.0.0)

Build Scripts

• scripts/build.sh: Build the project
• scripts/install.sh: Install dependencies and build
• scripts/publish.sh: Publish to npm with checks

📝 Documentation

• Installation Guide
• Configuration Guide
• Troubleshooting
• Usage Examples

🔄 Comparison with Other MCP Servers

This DBeaver MCP server provides:

• ✅ Universal database support (200+ databases vs. 4-5 in most MCP servers)
• ✅ Resource-based schema browsing
• ✅ Business insights tracking
• ✅ Complete DDL operations (CREATE, ALTER, DROP)
• ✅ Advanced safety features
• ✅ Multiple export formats
• ✅ Production-ready error handling
• ✅ Cross-platform compatibility

🤝 Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature/new-feature
3. Make your changes and add tests if applicable
4. Commit your changes: git commit -m 'Add new feature'
5. Push to the branch: git push origin feature/new-feature
6. Submit a pull request

📦 NPM Package

This project is published on npm as dbeaver-mcp-server:

• Package: https://www.npmjs.com/package/dbeaver-mcp-server
• Install: npm install -g dbeaver-mcp-server
• Current Version: 1.1.3
• License: MIT

📝 License

MIT License - see LICENSE file for details

🙏 Acknowledgments

• Anthropic for the Model Context Protocol
• DBeaver for the amazing database tool
• The open source community for inspiration and feedback

Note: This project is not officially affiliated with DBeaver or Anthropic. It's designed for real-world production use with AI assistants.