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Introduction

The DBeaver MCP Server is 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.

🎯 What Makes This Special?​

Unlike other MCP servers that support only a handful of database types, the DBeaver MCP Server leverages DBeaver's extensive database support to provide access to 200+ database types including PostgreSQL, MySQL, Oracle, SQL Server, SQLite, MongoDB, and many more.

Key Advantages​

  • 🚀 Zero Configuration: Uses your existing DBeaver connections
  • 🛡️ Enterprise Security: Leverages DBeaver's credential management
  • 🌐 Universal Support: Works with all 200+ database types supported by DBeaver
  • 🔧 Production Ready: Full error handling, logging, and safety checks
  • 📊 Advanced Features: Business insights, schema browsing, and data export
  • ⚡ High Performance: Optimized for real-world database operations

🚀 Core 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