DP-MCP Server

# Changelog All notable changes to the DP-MCP Server project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [Unreleased] ### Added - Performance monitoring with Prometheus metrics - Advanced logging configuration - Connection pooling for database operations - Caching layer for frequently accessed data ### Changed - Improved error messages with more context - Enhanced security with input validation - Optimized query performance for large datasets ## [0.1.0] - 2025-01-29 ### Added - Initial release of DP-MCP Server - **PostgreSQL Tools**: - `execute_sql_query`: Execute SQL queries with automatic formatting - `list_db_tables`: List all tables in a schema - `describe_db_table`: Get table structure details - `export_table_csv`: Export table data as CSV - **MinIO Object Storage Tools**: - `list_minio_buckets`: List all available buckets - `list_bucket_objects`: List objects in a bucket with filtering - `upload_to_minio`: Upload data to object store - `download_from_minio`: Download objects from storage - `create_minio_bucket`: Create new buckets - `delete_minio_object`: Delete objects from storage - **Combined Operations**: - `backup_table_to_minio`: Automated PostgreSQL table backup to MinIO - **FastMCP Integration**: Modern MCP server with HTTP transport - **Configuration Management**: Pydantic-based configuration with validation - **Docker Support**: Complete development environment with Docker Compose - **Security Features**: - SSL/TLS support for PostgreSQL and MinIO connections - Environment-based configuration - Input validation and parameterized queries - **Error Handling**: Comprehensive error handling with detailed messages - **Logging**: Structured logging with configurable levels - **Testing**: Unit tests for core functionality - **Documentation**: - Comprehensive README with usage examples - API reference documentation - Deployment guide for various environments - Troubleshooting guide ### Technical Details - Built with FastMCP 2.0 for modern MCP protocol support - Python 3.10+ compatibility - PostgreSQL 12+ support with psycopg2 - MinIO S3-compatible object storage integration - Uvicorn ASGI server with streaming HTTP transport - Pydantic for configuration validation and type safety - Docker Compose for development services ### Development Tools - UV package manager for dependency management - Black code formatter - isort import sorting - MyPy type checking - Flake8 linting - Pytest testing framework ### Sample Data - Pre-configured PostgreSQL database with sample tables: - `users`: User management with authentication fields - `products`: Product catalog with pricing and inventory - `orders`: Order management with customer relationships - Pre-configured MinIO buckets: - `default-bucket`: General purpose storage - `backups`: Database backup storage - `data-lake`: Analytics and data pipeline storage ### Security Considerations - Read-only database user recommendations - Secure credential management - Network security guidelines - Production deployment best practices ### Performance Optimizations - Connection pooling for database operations - Streaming data transfers for large objects - Configurable query limits and timeouts - Memory-efficient CSV generation ### Deployment Options - Development: Local Docker Compose setup - Production: Systemd service with Nginx reverse proxy - Container: Docker and Docker Compose production configurations - Cloud: AWS ECS, Google Cloud Run, Azure Container Instances ### Monitoring and Observability - Health check endpoints - Structured logging with JSON format - Connection testing on startup - Graceful error handling and recovery ## [0.0.1] - 2025-01-29 ### Added - Initial project setup - Basic project structure - Development environment configuration - Git repository initialization --- ## Release Notes ### Version 0.1.0 - "Foundation Release" This is the initial release of DP-MCP Server, providing a comprehensive solution for integrating PostgreSQL databases and MinIO object storage through the Model Context Protocol (MCP). **Key Highlights:** - 🚀 **11 Production-Ready Tools**: Complete toolkit for database and object storage operations - 🔧 **FastMCP Integration**: Modern MCP server with HTTP transport - 🛡️ **Security First**: SSL/TLS support, parameterized queries, and secure configuration - 📦 **Docker Ready**: Complete containerized development and deployment environment - 📊 **Advanced Features**: Database backup to object storage, query result formatting - 📚 **Comprehensive Documentation**: API reference, deployment guides, and examples **Target Users:** - AI application developers integrating database and storage operations - Data engineers building data pipelines with MCP-compatible tools - DevOps teams deploying MCP servers in production environments - Developers building AI agents that need database and object storage access **Getting Started:** 1. Clone the repository 2. Run `./setup.sh` for automatic setup 3. Start services with `docker-compose up -d` 4. Launch server with `uv run python src/dp_mcp/server.py` 5. Access at `http://127.0.0.1:8888/mcp/` **What's Next:** - Performance monitoring and metrics - Advanced caching capabilities - Additional database connectors - Enhanced security features - Cloud-native deployment options For detailed installation and usage instructions, see the [README.md](README.md) and [docs/](docs/) directory. --- ## Migration Guide ### From Development to Production When upgrading from development to production deployment: 1. **Update Configuration**: - Use production database credentials - Enable SSL/TLS for all connections - Set appropriate query limits - Configure secure MinIO endpoints 2. **Security Hardening**: - Create read-only database user - Implement network security rules - Use secrets management - Enable audit logging 3. **Performance Tuning**: - Configure connection pooling - Set appropriate memory limits - Enable query caching - Optimize database indexes 4. **Monitoring Setup**: - Deploy health checks - Configure log aggregation - Set up alerting - Monitor resource usage ### Breaking Changes None in this initial release. Future releases will document any breaking changes and provide migration paths. ## Support For questions, issues, or contributions: - **Issues**: [GitHub Issues](https://github.com/your-org/da.dp-mcp/issues) - **Discussions**: [GitHub Discussions](https://github.com/your-org/da.dp-mcp/discussions) - **Documentation**: [docs/](docs/) directory - **Examples**: [examples/](examples/) directory ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.