Multi Database MCP Server

# TimescaleDB Integration: Product Requirements Document ## 1. Overview This document outlines the requirements for integrating TimescaleDB into the DB-MCP-Server. TimescaleDB is a PostgreSQL extension designed for time-series data that provides enhanced performance, scalability, and features specifically optimized for time-based workloads. ### 1.1 Purpose The TimescaleDB integration aims to: - Support applications that work with time-series data - Provide optimized query performance for temporal operations - Enable advanced time-series analytics capabilities - Offer a seamless experience within the existing database connection framework ### 1.2 Target Users - Developers working on applications with time-series data requirements - Data analysts and scientists who need to perform time-based analytics - DevOps teams responsible for database scaling and performance optimization ## 2. System Architecture (C4 Models) ### 2.1 Context Diagram ``` ┌─────────────────┐ ┌────────────────┐ ┌───────────────────┐ │ │ │ │ │ │ │ User Code/App │─────▶│ DB-MCP-Server │─────▶│ TimescaleDB │ │ │ │ │ │ │ └─────────────────┘ └────────────────┘ └───────────────────┘ │ │ │ │ │ │ ▼ ▼ ▼ ┌─────────────────┐ ┌────────────────┐ ┌───────────────────┐ │ Query Builder │ │ Query Tools │ │ PostgreSQL APIs │ └─────────────────┘ └────────────────┘ └───────────────────┘ ``` ### 2.2 Container Diagram ``` ┌──────────────────────────────────────────────────────────────────┐ │ │ │ DB-MCP-Server │ │ │ │ ┌────────────────┐ ┌────────────────┐ ┌────────────────┐ │ │ │ │ │ │ │ │ │ │ │ API Service │───▶│ DB Connectors │───▶│TimescaleDB │ │ │ │ │ │ │ │Connector │ │ │ └────────────────┘ └────────────────┘ └────────────────┘ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌────────────────┐ ┌────────────────┐ ┌────────────────┐ │ │ │ │ │ │ │ │ │ │ │ Tool Registry │───▶│PostgreSQL Tools│───▶│TimescaleDB │ │ │ │ │ │ │ │Tools │ │ │ └────────────────┘ └────────────────┘ └────────────────┘ │ │ │ └──────────────────────────────────────────────────────────────────┘ │ ▼ ┌──────────────────────────────────────────────────────────────────┐ │ │ │ TimescaleDB │ │ │ │ ┌────────────────┐ ┌────────────────┐ ┌────────────────┐ │ │ │ │ │ │ │ │ │ │ │ PostgreSQL │ │ Time-Series │ │ Hypertable │ │ │ │ Core │───▶│ Extension │───▶│ Management │ │ │ │ │ │ │ │ │ │ │ └────────────────┘ └────────────────┘ └────────────────┘ │ │ │ │ │ ▼ │ │ ┌────────────────┐ ┌────────────────┐ ┌────────────────┐ │ │ │ │ │ │ │ │ │ │ │ Compression │ │ Continuous │ │ Time-Series │ │ │ │ Engine │◀───│ Aggregates │◀───│ Analytics │ │ │ │ │ │ │ │ │ │ │ └────────────────┘ └────────────────┘ └────────────────┘ │ │ │ └──────────────────────────────────────────────────────────────────┘ ``` ### 2.3 Component Diagram ``` ┌────────────────────────────────────────────────────────────────────────┐ │ │ │ TimescaleDB Integration Components │ │ │ │ ┌──────────────────┐ ┌───────────────────┐ ┌──────────────────┐ │ │ │ │ │ │ │ │ │ │ │ Connection │───▶│ Query Builder │───▶│ Result Parser │ │ │ │ Manager │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ └──────────────────┘ └───────────────────┘ └──────────────────┘ │ │ │ │ │ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌──────────────────┐ ┌───────────────────┐ ┌──────────────────┐ │ │ │ │ │ │ │ │ │ │ │ Hypertable │ │ Time-Series │ │ Data Export │ │ │ │ Manager │◀───│ Functions │◀───│ Tools │ │ │ │ │ │ │ │ │ │ │ └──────────────────┘ └───────────────────┘ └──────────────────┘ │ │ │ │ │ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌──────────────────┐ ┌───────────────────┐ ┌──────────────────┐ │ │ │ │ │ │ │ │ │ │ │ Policy │ │ Compression │ │ Monitoring │ │ │ │ Manager │───▶│ Manager │───▶│ Tools │ │ │ │ │ │ │ │ │ │ │ └──────────────────┘ └───────────────────┘ └──────────────────┘ │ │ │ └────────────────────────────────────────────────────────────────────────┘ ``` ### 2.4 Code-Level Diagram ``` ┌────────────────────────────────────────┐ │ pkg/db/timescale/connection.go │ ├────────────────────────────────────────┤ │ │ │ type TimescaleDBConfig struct { │ │ PostgresConfig │ │ ChunkTimeInterval string │ │ RetentionPolicy string │ │ CompressionPolicy string │ │ } │ │ │ │ func NewTimescaleConnection() │ │ func Connect() │ │ func Ping() │ │ func Close() │ └────────────────────────────────────────┘ │ ▼ ┌────────────────────────────────────────┐ │ pkg/db/timescale/hypertable.go │ ├────────────────────────────────────────┤ │ │ │ func CreateHypertable() │ │ func AddDimension() │ │ func ConfigureChunkInterval() │ │ func SetRetentionPolicy() │ │ func EnableCompression() │ │ func ListHypertables() │ └────────────────────────────────────────┘ │ ▼ ┌────────────────────────────────────────┐ │ pkg/db/timescale/query.go │ ├────────────────────────────────────────┤ │ │ │ func TimeseriesQuery() │ │ func TimeRange() │ │ func Downsampling() │ │ func ContinuousAggregate() │ │ func MaterializedViews() │ └────────────────────────────────────────┘ ``` ## 3. Feature Requirements ### 3.1 Core TimescaleDB Features | Feature | Description | Priority | |---------|-------------|----------| | Hypertable Management | Support for creating, altering, and managing hypertables | High | | Multi-dimensional Partitioning | Enable partitioning on time and space dimensions | Medium | | Time Buckets | Support for time bucket functions and queries | High | | Continuous Aggregates | Enable creation and management of continuous aggregates | Medium | | Data Retention Policies | Configure automatic data retention policies | Medium | | Compression Policies | Enable and manage compression policies | Medium | | Advanced Time-Series Functions | Support for TimescaleDB's specialized time-series functions | High | ### 3.2 Configuration Requirements | Requirement | Description | Priority | |-------------|-------------|----------| | Connection Configuration | Extended PostgreSQL connection config with TimescaleDB parameters | High | | Chunk Time Interval | Configurable chunk time interval for hypertables | High | | Data Retention Settings | Configuration for data retention policies | Medium | | Compression Settings | Configuration for compression policies | Medium | | Default Settings | Sensible defaults for TimescaleDB configuration | Medium | ### 3.3 Tool/Command Requirements | Tool/Command | Description | Priority | |--------------|-------------|----------| | Create Hypertable | Tool to create a hypertable from an existing table | High | | Convert to Hypertable | Convert PostgreSQL table to TimescaleDB hypertable | High | | Manage Continuous Aggregates | Create and manage continuous aggregates | Medium | | Configure Compression | Set up and manage compression policies | Medium | | Configure Retention | Set up and manage retention policies | Medium | | Hypertable Information | View information about existing hypertables | Medium | | Chunk Management | Manage chunks (compress, decompress, drop) | Low | ## 4. User Context Requirements ### 4.1 Code Assistance The system should provide context-aware assistance when users are working with TimescaleDB: | Feature | Description | Priority | |---------|-------------|----------| | TimescaleDB Function Documentation | In-editor documentation for TimescaleDB-specific functions | High | | Hypertable Schema Awareness | Auto-completion and schema awareness for hypertables | High | | Query Optimization Suggestions | Suggestions for optimizing time-series queries | Medium | | Code Snippets | Ready-to-use code snippets for common TimescaleDB operations | Medium | | Error Diagnosis | Context-aware error diagnosis for TimescaleDB-specific errors | Medium | ### 4.2 Query Builder Context | Feature | Description | Priority | |---------|-------------|----------| | Time-Series Query Templates | Templates for common time-series query patterns | High | | Time Bucket Suggestions | Suggest appropriate time bucket sizes based on data | Medium | | Function Parameter Assistance | Context-aware assistance for TimescaleDB function parameters | Medium | | Query Performance Hints | Provide hints about query performance | Low | ### 4.3 User Interface Enhancements | Feature | Description | Priority | |---------|-------------|----------| | Hypertable Visualization | Visual representation of hypertable structure | Medium | | Time-Series Data Visualization | Simple visualization of time-series query results | Medium | | Chunk Utilization View | Visualization of chunk usage and compression status | Low | ## 5. Integration Requirements ### 5.1 Existing System Integration | Requirement | Description | Priority | |-------------|-------------|----------| | Multi-DB Configuration | Extend multi-database configuration to support TimescaleDB | High | | Connection Pool Support | Support for connection pooling with TimescaleDB | High | | Tool Registry Integration | Register TimescaleDB-specific tools in the MCP tool registry | High | | Transparent PostgreSQL Compatibility | Ensure all PostgreSQL features work with TimescaleDB | High | ### 5.2 API Extensions | Extension | Description | Priority | |-----------|-------------|----------| | TimescaleDB-specific Endpoints | Add endpoints for TimescaleDB-specific operations | Medium | | Metadata API | API for TimescaleDB metadata (hypertables, chunks, etc.) | Medium | | Tool Execution API | API for executing TimescaleDB-specific tools | High | ## 6. Performance and Scalability | Requirement | Description | Priority | |-------------|-------------|----------| | Connection Pooling | Efficient connection pooling for TimescaleDB | High | | Query Performance | Optimized query execution for time-series data | High | | Large Dataset Support | Support for working with large time-series datasets | Medium | | Multi-node Awareness | Support for distributed TimescaleDB deployments | Low | ## 7. Security Requirements | Requirement | Description | Priority | |-------------|-------------|----------| | Connection Security | Support for secure connections to TimescaleDB | High | | Role-Based Access | Support for TimescaleDB's role-based access control | Medium | | Sensitive Data Handling | Secure handling of sensitive time-series data | High | ## 8. Success Metrics | Metric | Target | |--------|--------| | Query Performance | >50% improvement for time-series queries vs standard PostgreSQL | | Data Compression | >60% storage reduction for time-series data | | Developer Productivity | >30% reduction in time to implement time-series features | | Query Complexity | Simplify complex time-series queries by >40% |