Multi Database MCP Server

# TimescaleDB Integration: Engineering Implementation Document ## 1. Introduction This document provides detailed technical specifications and implementation guidance for integrating TimescaleDB with the DB-MCP-Server. It outlines the architecture, code structures, and specific tasks required to implement the features described in the PRD document. ## 2. Technical Background ### 2.1 TimescaleDB Overview TimescaleDB is an open-source time-series database built as an extension to PostgreSQL. It provides: - Automatic partitioning of time-series data ("chunks") for better query performance - Retention policies for automatic data management - Compression features for efficient storage - Continuous aggregates for optimized analytics - Advanced time-series functions and operators - Full SQL compatibility with PostgreSQL TimescaleDB operates as a transparent extension to PostgreSQL, meaning existing PostgreSQL applications can use TimescaleDB with minimal modifications. ### 2.2 Current Architecture The DB-MCP-Server currently supports multiple database types through a common interface in the `pkg/db` package. PostgreSQL support is already implemented, which provides a foundation for TimescaleDB integration (as TimescaleDB is a PostgreSQL extension). Key components in the existing architecture: - `pkg/db/db.go`: Core database interface and implementations - `Config` struct: Database configuration parameters - Database connection management - Query execution functions - Multi-database support through configuration ## 3. Architecture Changes ### 3.1 Component Additions New components to be added: 1. **TimescaleDB Connection Manager** - Extended PostgreSQL connection with TimescaleDB-specific configuration options - Support for hypertable management and time-series operations 2. **Hypertable Management Tools** - Tools for creating and managing hypertables - Functions for configuring chunks, dimensions, and compression 3. **Time-Series Query Utilities** - Functions for building and executing time-series queries - Support for time bucket operations and continuous aggregates 4. **Context Provider** - Enhanced information about TimescaleDB objects for user code context - Schema awareness for hypertables ### 3.2 Integration Points The TimescaleDB integration will hook into the existing system at these points: 1. **Configuration System** - Extend the database configuration to include TimescaleDB-specific options - Add support for chunk time intervals, retention policies, and compression settings 2. **Database Connection Management** - Extend the PostgreSQL connection to detect and utilize TimescaleDB features - Register TimescaleDB-specific connection parameters 3. **Tool Registry** - Register new tools for TimescaleDB operations - Add TimescaleDB-specific functionality to existing PostgreSQL tools 4. **Context Engine** - Add TimescaleDB-specific context information to editor context - Provide hypertable schema information ## 4. Implementation Details ### 4.1 Configuration Extensions Extend the existing `Config` struct in `pkg/db/db.go` to include TimescaleDB-specific options: ### 4.2 Connection Management Create a new package `pkg/db/timescale` with TimescaleDB-specific connection management: ### 4.3 Hypertable Management Create a new file `pkg/db/timescale/hypertable.go` for hypertable management: ### 4.4 Time-Series Query Functions Create a new file `pkg/db/timescale/query.go` for time-series query utilities: ### 4.5 Tool Registration Extend the tool registry in `internal/delivery/mcp` to add TimescaleDB-specific tools: ### 4.6 Editor Context Integration Extend the editor context provider to include TimescaleDB-specific information: ## 5. Implementation Tasks ### 5.1 Core Infrastructure Tasks | Task ID | Description | Estimated Effort | Dependencies | Status | |---------|-------------|------------------|--------------|--------| | INFRA-1 | Update database configuration structures for TimescaleDB | 2 days | None | Completed | | INFRA-2 | Create TimescaleDB connection manager package | 3 days | INFRA-1 | Completed | | INFRA-3 | Implement hypertable management functions | 3 days | INFRA-2 | Completed | | INFRA-4 | Implement time-series query builder | 4 days | INFRA-2 | Completed | | INFRA-5 | Add compression and retention policy management | 2 days | INFRA-3 | Completed | | INFRA-6 | Create schema detection and metadata functions | 2 days | INFRA-3 | Completed | ### 5.2 Tool Integration Tasks | Task ID | Description | Estimated Effort | Dependencies | Status | |---------|-------------|------------------|--------------|--------| | TOOL-1 | Register TimescaleDB tool category | 1 day | INFRA-2 | Completed | | TOOL-2 | Implement hypertable creation tool | 2 days | INFRA-3, TOOL-1 | Completed | | TOOL-3 | Implement hypertable listing tool | 1 day | INFRA-3, TOOL-1 | Completed | | TOOL-4 | Implement compression policy tools | 2 days | INFRA-5, TOOL-1 | Completed | | TOOL-5 | Implement retention policy tools | 2 days | INFRA-5, TOOL-1 | Completed | | TOOL-6 | Implement time-series query tools | 3 days | INFRA-4, TOOL-1 | Completed | | TOOL-7 | Implement continuous aggregate tools | 3 days | INFRA-3, TOOL-1 | Completed | ### 5.3 Context Integration Tasks | Task ID | Description | Estimated Effort | Dependencies | Status | |---------|-------------|------------------|--------------|--------| | CTX-1 | Add TimescaleDB detection to editor context | 2 days | INFRA-2 | Completed | | CTX-2 | Add hypertable schema information to context | 2 days | INFRA-3, CTX-1 | Completed | | CTX-3 | Implement code completion for TimescaleDB functions | 3 days | CTX-1 | Completed | | CTX-4 | Create documentation for TimescaleDB functions | 3 days | None | Completed | | CTX-5 | Implement query suggestion features | 4 days | INFRA-4, CTX-2 | Completed | ### 5.4 Testing and Documentation Tasks | Task ID | Description | Estimated Effort | Dependencies | Status | |---------|-------------|------------------|--------------|--------| | TEST-1 | Create TimescaleDB Docker setup for testing | 1 day | None | Completed | | TEST-2 | Write unit tests for TimescaleDB connection | 2 days | INFRA-2, TEST-1 | Completed | | TEST-3 | Write integration tests for hypertable management | 2 days | INFRA-3, TEST-1 | Completed | | TEST-4 | Write tests for time-series query functions | 2 days | INFRA-4, TEST-1 | Completed | | TEST-5 | Write tests for compression and retention | 2 days | INFRA-5, TEST-1 | Completed | | TEST-6 | Write end-to-end tests for all tools | 3 days | All TOOL tasks, TEST-1 | Pending | | DOC-1 | Update configuration documentation | 1 day | INFRA-1 | Pending | | DOC-2 | Create user guide for TimescaleDB features | 2 days | All TOOL tasks | Pending | | DOC-3 | Document TimescaleDB best practices | 2 days | All implementation | Pending | | DOC-4 | Create code samples and tutorials | 3 days | All implementation | Pending | ### 5.5 Deployment and Release Tasks | Task ID | Description | Estimated Effort | Dependencies | Status | |---------|-------------|------------------|--------------|--------| | REL-1 | Create TimescaleDB Docker Compose example | 1 day | TEST-1 | Completed | | REL-2 | Update CI/CD pipeline for TimescaleDB testing | 1 day | TEST-1 | Pending | | REL-3 | Create release notes and migration guide | 1 day | All implementation | Pending | | REL-4 | Performance testing and optimization | 3 days | All implementation | Pending | ## 5.6 Implementation Progress Summary As of the current codebase status: - **Core Infrastructure (100% Complete)**: All core TimescaleDB infrastructure components have been implemented, including configuration structures, connection management, hypertable management, time-series query builder, and policy management. - **Tool Integration (100% Complete)**: All TimescaleDB tool types have been registered and implemented. This includes hypertable creation and listing tools, compression and retention policy tools, time-series query tools, and continuous aggregate tools. All tools have comprehensive test coverage. - **Context Integration (100% Complete)**: All the context integration features have been implemented, including TimescaleDB detection, hypertable schema information, code completion for TimescaleDB functions, documentation for TimescaleDB functions, and query suggestion features. - **Testing (90% Complete)**: Unit tests for connection, hypertable management, policy features, compression and retention policy tools, time-series query tools, continuous aggregate tools, and context features have been implemented. The TimescaleDB Docker setup for testing has been completed. End-to-end tool tests are still pending. - **Documentation (25% Complete)**: Documentation for TimescaleDB functions has been created, but documentation for other features, best practices, and usage examples is still pending. - **Deployment (25% Complete)**: TimescaleDB Docker setup has been completed and a Docker Compose example is provided. CI/CD integration and performance testing are still pending. **Overall Progress**: Approximately 92% of the planned work has been completed, focusing on the core infrastructure layer, tool integration, context integration features, and testing infrastructure. The remaining work is primarily related to comprehensive documentation, end-to-end testing, and CI/CD integration. ## 6. Timeline Estimated total effort: 65 person-days Minimum viable implementation (Phase 1 - Core Features): - INFRA-1, INFRA-2, INFRA-3, TOOL-1, TOOL-2, TOOL-3, TEST-1, TEST-2, DOC-1 - Timeline: 2-3 weeks Complete implementation (All Phases): - All tasks - Timeline: 8-10 weeks ## 7. Risk Assessment | Risk | Impact | Likelihood | Mitigation | |------|--------|------------|------------| | TimescaleDB version compatibility issues | High | Medium | Test with multiple versions, clear version requirements | | Performance impacts with large datasets | High | Medium | Performance testing with representative datasets | | Complex query builder challenges | Medium | Medium | Start with core functions, expand iteratively | | Integration with existing PostgreSQL tools | Medium | Low | Clear separation of concerns, thorough testing | | Security concerns with new database features | High | Low | Security review of all new code, follow established patterns |