srthkdev/dbeaver-mcp-server

DBeaver MCP Server

A production-ready Model Context Protocol (MCP) server that seamlessly integrates with DBeaver to provide AI assistants universal access to 200+ database types through your existing DBeaver connections. Built for real-world usage with Claude, Cursor, and other MCP-compatible AI assistants.

🚀 Key Features

🔗 Universal Database Connectivity

• 200+ Database Types: PostgreSQL, MySQL, Oracle, SQL Server, SQLite, MongoDB, and more
• Zero Configuration: Leverages your existing DBeaver connections
• Auto-Detection: Automatically finds and connects to your DBeaver workspace
• Cross-Platform: Windows, macOS, and Linux support

🛡️ Enterprise-Grade Security & Safety

• Credential Management: Uses DBeaver's secure credential storage
• Query Validation: Built-in protection against dangerous operations
• Confirmation Prompts: Destructive operations require explicit confirmation
• Connection Validation: All connections verified before operations
• Error Handling: Comprehensive error recovery and logging

📊 Advanced Data Operations

• Read Operations: Safe SELECT queries with automatic LIMIT protection
• Write Operations: INSERT, UPDATE, DELETE with validation
• Schema Management: Complete DDL operations (CREATE, ALTER, DROP)
• Data Export: CSV, JSON, XML, Excel export formats
• Performance Monitoring: Query execution time tracking

🧠 AI-Powered Intelligence

• Business Insights: Track and store analysis insights with tagging
• Resource Browsing: Browse table schemas through MCP resources
• Smart Suggestions: Context-aware database recommendations
• Analysis Tracking: Persistent storage of business intelligence findings

🔧 Developer Experience

• MCP Protocol: Full Model Context Protocol compliance
• TypeScript: Complete type safety and IntelliSense support
• Debug Mode: Comprehensive logging and troubleshooting
• Version Compatibility: Supports DBeaver 6.x through 21.x+

🔧 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

📋 Connection Management

📊 Data Operations

🏗️ Schema Management

📈 Analytics & Intelligence

📋 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)

💡 Quick Start Examples

🔍 Basic Database Operations

# List all your database connections
"Show me all my database connections"

# Execute a simple query
"Run this query on my PostgreSQL database: 
SELECT COUNT(*) FROM orders WHERE date > '2024-01-01'"

# Get table schema information
"What's the schema of the users table in my MySQL database?"

# Export data for analysis
"Export all customer data to CSV from my Oracle database"

🏗️ Schema Management

# Create new tables
"Create a new table called 'products' with columns id, name, price, created_at"

# Modify existing tables
"Add a 'description' column to the products table"

# Safe table removal (requires confirmation)
"I want to drop the test_table - make sure to confirm first"

📊 Business Intelligence & Analytics

# Data analysis with insights
"Find the top 10 customers by order value and save this insight"

# Track business findings
"The Q4 sales data shows a 23% increase in mobile orders - tag this as 'quarterly-analysis'"

# Review past analysis
"Show me all insights related to sales performance"

🔧 Advanced Use Cases

# Performance analysis
"Analyze query performance and identify slow queries in my production database"

# Data quality checks
"Check for missing or invalid data in the customer table"

# Migration planning
"Help me analyze the current schema for migrating from MySQL to PostgreSQL"

🔧 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

🆚 Why Choose DBeaver MCP Server?

🏆 Industry-Leading Features

🎯 Perfect For

• Data Analysts: Comprehensive database access with AI assistance
• Database Administrators: Complete schema management and monitoring
• Developers: Seamless integration with existing DBeaver workflows
• Business Intelligence: Advanced analytics with insight tracking
• Enterprise Teams: Production-ready with enterprise security features

🤝 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: dbeaver-mcp-server
• Install: npm install -g dbeaver-mcp-server
• Current Version: 1.1.7
• License: MIT
• GitHub: srthkdev/dbeaver-mcp-server

📝 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.