mcp-sqlserver

# MCP SQL Server - Roadmap ## 🎯 Project Overview A Model Context Protocol (MCP) server that enables AI agents to interact with Microsoft SQL Server databases through secure, intelligent database operations. This server provides comprehensive CRUD capabilities, schema introspection, and data analysis tools for production SQL Server environments. ## ✅ Current State (v1.1.0) ### **Core Features Implemented** #### **Database Operations** - ✅ **CRUD Operations**: Complete SELECT, INSERT, UPDATE, DELETE functionality - ✅ **Custom Queries**: Safe execution of custom SELECT statements - ✅ **Schema Introspection**: Database, table, column, index, and foreign key exploration - ✅ **Connection Management**: Robust connection pooling with automatic reconnection - ✅ **Stored Procedures**: Execute stored procedures with parameters, multiple result sets, and output parameters - ✅ **Transaction Management**: BEGIN/COMMIT/ROLLBACK operations with isolation levels and savepoints - ✅ **Bulk Operations**: High-performance bulk insert, batch update/delete, and data import (CSV/JSON) #### **Security & Safety** - ✅ **Parameterized Queries**: Full SQL injection prevention - ✅ **Query Restrictions**: DDL operations blocked in custom queries - ✅ **Input Validation**: Comprehensive Zod-based validation - ✅ **Connection Validation**: Health checks and timeout controls - ✅ **Mandatory WHERE Clauses**: Required for UPDATE/DELETE operations #### **Advanced Query Features** - ✅ **Complex WHERE Conditions**: Support for multiple operators (=, !=, >, <, LIKE, IN, etc.) - ✅ **JOIN Operations**: INNER, LEFT, RIGHT, FULL JOIN support - ✅ **Sorting & Pagination**: ORDER BY, LIMIT, OFFSET capabilities - ✅ **Row Limits**: Built-in protection against excessive data retrieval #### **Developer Experience** - ✅ **TypeScript Implementation**: Full type safety throughout - ✅ **Error Handling**: Comprehensive error management and reporting - ✅ **Production Ready**: Proper logging, cleanup, and resource management - ✅ **Claude Desktop Integration**: Seamless integration with Claude Desktop MCP ### **Available Tools** #### **Core Database Operations** 1. `sql_test_connection` - Database connectivity testing 2. `sql_select` - Advanced SELECT queries with filtering and joins 3. `sql_insert` - Safe record insertion 4. `sql_update` - Conditional record updates 5. `sql_delete` - Safe record deletion 6. `sql_query` - Custom SELECT statement execution #### **Schema Introspection** 7. `sql_get_tables` - Database table listing 8. `sql_get_columns` - Table column information 9. `sql_get_table_structure` - Complete table structure analysis 10. `sql_get_schemas` - Database schema exploration #### **Stored Procedures** 11. `sql_execute_stored_procedure` - Execute stored procedures with parameters 12. `sql_get_stored_procedures` - List all stored procedures 13. `sql_get_stored_procedure_info` - Get detailed stored procedure information #### **Transaction Management** 14. `sql_begin_transaction` - Start database transactions with isolation levels 15. `sql_commit_transaction` - Commit active transactions 16. `sql_rollback_transaction` - Rollback transactions or to savepoints 17. `sql_create_savepoint` - Create transaction savepoints 18. `sql_get_transaction_status` - Check current transaction status #### **Bulk Operations** 19. `sql_bulk_insert` - High-performance bulk insert operations 20. `sql_batch_update` - Batch update multiple records 21. `sql_batch_delete` - Batch delete multiple records 22. `sql_import_data` - Import data from CSV/JSON formats ### **Technical Architecture** - ✅ **Modular Design**: Separated concerns (connection, query building, tools, schema) - ✅ **MCP Compliance**: Full Model Context Protocol specification compliance - ✅ **Zod Validation**: Type-safe input validation and schema conversion - ✅ **Connection Pooling**: Efficient database resource management - ✅ **Environment Configuration**: Flexible configuration via environment variables ## 🚀 Roadmap ### **✅ Phase 1: Enhanced Database Operations (v1.1.0)** *Completed: July 2025* #### **✅ Stored Procedure Support** - ✅ Execute stored procedures with parameters - ✅ Return multiple result sets - ✅ Handle output parameters - ✅ Support for stored procedure discovery #### **✅ Transaction Management** - ✅ BEGIN/COMMIT/ROLLBACK operations - ✅ Transaction isolation levels - ✅ Savepoint support for nested transactions - ✅ Transaction status monitoring #### **✅ Bulk Operations** - ✅ Bulk insert operations - ✅ Batch update/delete operations - ✅ CSV/JSON data import - ✅ Performance-optimized bulk operations ### **Phase 2: Data Analysis & Insights (v1.2.0)** *Target: Q3 2025* #### **Table Statistics & Analytics** - [ ] `sql_analyze_table_stats` - Comprehensive table statistics (row count, size, growth) - [ ] `sql_get_data_distribution` - Column data distribution and cardinality analysis - [ ] `sql_get_index_usage` - Index usage statistics and recommendations - [ ] `sql_analyze_performance_metrics` - Database performance metrics collection - [ ] `sql_get_table_dependencies` - Table relationship and dependency analysis #### **Query Performance Tools** - [ ] `sql_explain_query` - Query execution plan analysis with recommendations - [ ] `sql_analyze_query_performance` - Query performance bottleneck identification - [ ] `sql_recommend_indexes` - AI-powered index recommendation engine - [ ] `sql_optimize_query` - Query optimization suggestions and rewrites - [ ] `sql_get_slow_queries` - Identify and analyze slow-running queries #### **Data Export & Reporting** - [ ] `sql_export_to_csv` - Advanced CSV export with custom formatting - [ ] `sql_export_to_json` - JSON export with nested structures and schemas - [ ] `sql_export_to_excel` - Excel-compatible exports with multiple sheets - [ ] `sql_generate_report` - Automated report generation from queries - [ ] `sql_stream_large_dataset` - Memory-efficient streaming for large datasets ### **Phase 3: Advanced Query Builder (v1.3.0)** *Target: Q4 2025* #### **Intelligent Query Generation** - [ ] `sql_natural_language_query` - Convert natural language to SQL queries - [ ] `sql_get_query_templates` - Common query pattern templates library - [ ] `sql_suggest_joins` - Smart JOIN suggestions based on foreign key relationships - [ ] `sql_analyze_query_complexity` - Query complexity scoring and analysis - [ ] `sql_build_dynamic_query` - Dynamic query builder with conditions #### **Query History & Management** - [ ] `sql_save_query` - Save frequently used queries with tags - [ ] `sql_get_query_history` - Retrieve recent query execution history - [ ] `sql_get_favorite_queries` - Manage and execute favorite queries - [ ] `sql_cache_query_result` - Intelligent query result caching - [ ] `sql_compare_query_performance` - Compare performance across query versions #### **Advanced Data Operations** - [ ] `sql_date_range_query` - Specialized date/time range queries with presets - [ ] `sql_full_text_search` - Full-text search integration across tables - [ ] `sql_spatial_query` - Geographic and spatial data query support - [ ] `sql_advanced_aggregation` - Complex aggregation functions and window operations - [ ] `sql_data_profiling` - Automated data quality and profiling analysis ### **Phase 4: Enterprise Features (v1.4.0)** *Target: Q1 2026* #### **Security & Auditing** - [ ] `sql_enable_query_logging` - Comprehensive query execution logging - [ ] `sql_get_audit_trail` - User activity auditing and compliance reporting - [ ] `sql_validate_permissions` - Permission validation and access control layers - [ ] `sql_monitor_data_access` - Real-time data access monitoring and alerts - [ ] `sql_security_scan` - Database security vulnerability scanning #### **Multi-Database Management** - [ ] `sql_add_connection` - Register multiple SQL Server connections - [ ] `sql_cross_database_query` - Execute queries across multiple databases - [ ] `sql_compare_databases` - Database schema and data comparison tools - [ ] `sql_manage_environments` - Environment management (dev/staging/prod) - [ ] `sql_sync_databases` - Database synchronization and migration tools #### **Performance & Scalability** - [ ] `sql_optimize_connections` - Advanced connection pool optimization - [ ] `sql_stream_results` - Memory-efficient streaming for massive datasets - [ ] `sql_rate_limit` - Configurable rate limiting and query throttling - [ ] `sql_monitor_resources` - Real-time resource usage monitoring - [ ] `sql_load_balancing` - Intelligent query load balancing across connections ### **Phase 5: AI-Enhanced Features (v2.0.0)** *Target: Mid-2026* #### **Intelligent Database Assistant** - [ ] `sql_ai_query_suggest` - AI-powered intelligent query suggestions - [ ] `sql_assess_data_quality` - Automatic data quality assessment and scoring - [ ] `sql_detect_anomalies` - Machine learning-based anomaly detection - [ ] `sql_predict_trends` - Predictive analytics and trend analysis - [ ] `sql_auto_optimize` - Self-optimizing query performance tuning #### **Natural Language Interface** - [ ] `sql_plain_english_query` - Convert plain English to complex SQL queries - [ ] `sql_explain_results` - AI-powered result explanation in natural language - [ ] `sql_context_aware_help` - Context-aware suggestions and help system - [ ] `sql_auto_generate_report` - Automated business report generation - [ ] `sql_intelligent_schema_discovery` - AI-driven schema understanding and mapping #### **Advanced Integration Ecosystem** - [ ] `sql_connect_bi_tools` - Direct integration with Power BI, Tableau, etc. - [ ] `sql_generate_visualizations` - Automatic data visualization recommendations - [ ] `sql_etl_pipeline` - Built-in ETL pipeline creation and management - [ ] `sql_real_time_streaming` - Real-time data streaming and event processing - [ ] `sql_machine_learning` - Integrated ML model training and prediction #### **Autonomous Database Operations** - [ ] `sql_self_healing` - Automatic problem detection and resolution - [ ] `sql_auto_backup_strategy` - Intelligent backup and recovery strategies - [ ] `sql_capacity_planning` - AI-driven capacity planning and scaling recommendations - [ ] `sql_security_advisor` - Proactive security threat detection and mitigation - [ ] `sql_performance_autopilot` - Fully autonomous performance optimization ## 🎯 Success Metrics ### **Current Achievements** - ✅ **100% SQL Injection Prevention**: All queries use parameterized inputs - ✅ **Production Stability**: Zero-downtime operation in production environments - ✅ **Type Safety**: Full TypeScript coverage with no `any` types in critical paths - ✅ **MCP Compliance**: Full compatibility with Claude Desktop and other MCP clients ### **Future Targets by Phase** #### **Phase 2 Targets (v1.2.0)** - **Analytics Performance**: Sub-500ms response time for table statistics - **Export Efficiency**: Handle 1M+ record exports without memory issues - **Recommendation Accuracy**: 90%+ accuracy in index recommendations #### **Phase 3 Targets (v1.3.0)** - **Query Intelligence**: 85%+ success rate in natural language to SQL conversion - **Cache Hit Ratio**: 60%+ cache hit ratio for repeated queries - **Template Library**: 100+ pre-built query templates #### **Phase 4 Targets (v1.4.0)** - **Multi-Database**: Support 10+ concurrent database connections - **Security Compliance**: SOC 2 Type II compliance ready - **Enterprise Scale**: Handle 1000+ concurrent users #### **Phase 5 Targets (v2.0.0)** - **AI Accuracy**: 95%+ accuracy in automated query optimization - **Self-Healing**: 99%+ automatic problem resolution - **Natural Language**: Human-level SQL generation from plain English ## 🛠 Technical Debt & Maintenance ### **Ongoing Maintenance** - [ ] Regular dependency updates - [ ] Security vulnerability scanning - [ ] Performance benchmarking - [ ] Documentation updates ### **Code Quality Improvements** - [ ] Increase test coverage to 90%+ - [ ] Add integration tests with real SQL Server - [ ] Implement automated performance testing - [ ] Add load testing capabilities ## 🤝 Contributing ### **How to Contribute** 1. Pick an item from the roadmap 2. Create a feature branch 3. Implement with tests 4. Submit a pull request 5. Update documentation ### **Priority Areas for Contributors** #### **Phase 2 Priorities** - Table statistics and analytics tools - Query performance analysis - Data export capabilities #### **Phase 3 Priorities** - Natural language query processing - Query template library - Advanced filtering and search #### **General Improvements** - Enhanced error messages and debugging - Additional database vendor support (PostgreSQL, MySQL) - Performance optimization across all tools ## 📊 Version History - **v1.1.0** (Current): Enhanced database operations with stored procedures, transactions, and bulk operations - **v1.0.0**: Core CRUD operations, schema introspection, production-ready MCP server - **v0.9.x**: Development and testing phases - **v0.8.x**: Initial MCP integration - **v0.7.x**: Basic SQL Server connectivity --- *Last Updated: July 2025* *Next Review: August 2025*