Supabase MCP Server

# Supabase MCP Server - Initial Tasks ## Phase 1: Project Foundation & Setup ### Task 1: Development Environment Setup ✅ PARTIALLY COMPLETED **Priority**: High | **Estimated Time**: 2-4 hours | **Completed**: August 09, 2025 #### Subtasks: - [ ] Set up Python 3.11+ virtual environment using Poetry or venv - [x] Install core dependencies: - [x] `mcp` (Official MCP Python SDK) - [x] `supabase` (Supabase Python client) - [ ] `fastapi` (Web framework for additional endpoints) - [ ] `sqlalchemy` (Database ORM) - [x] `pydantic` (Data validation and settings) - [x] `python-dotenv` (Environment variable management) - [x] Set up development tools: - [x] `pytest` and `pytest-asyncio` (Testing) - [x] `black` and `isort` (Code formatting) - [x] `mypy` (Type checking) - [x] `pre-commit` (Git hooks) - [x] Create `pyproject.toml` or `requirements.txt` with pinned versions - [x] Set up `.env.example` file with required environment variables #### Deliverables: - Working Python environment with all dependencies - Project structure with proper tooling configuration - Environment variable template --- ### Task 2: Self-Hosted Supabase Setup **Priority**: High | **Estimated Time**: 3-5 hours #### Subtasks: - [ ] Clone Supabase self-hosting repository - [ ] Configure Docker Compose for local development: - [ ] PostgreSQL database with extensions (pgvector, pg_stat_statements) - [ ] Supabase Auth service - [ ] Supabase API Gateway - [ ] Supabase Studio (Dashboard) - [ ] Generate secure credentials: - [ ] JWT secret for authentication - [ ] ANON_KEY and SERVICE_KEY - [ ] Strong PostgreSQL password (24+ characters) - [ ] Customize configuration: - [ ] Database name and connection settings - [ ] API URL and port configuration - [ ] Enable necessary PostgreSQL extensions - [ ] Test Supabase installation: - [ ] Verify database connectivity - [ ] Test REST API endpoints - [ ] Confirm Supabase Studio access - [ ] Create backup and restore procedures #### Deliverables: - Fully functional self-hosted Supabase instance - Documentation for setup and configuration - Database backup strategy --- ### Task 3: Database Schema Design & Implementation **Priority**: High | **Estimated Time**: 4-6 hours #### Subtasks: - [ ] Design core database schema: - [ ] `frameworks` table (id, name, version, category, description, official_url, created_at, updated_at) - [ ] `code_patterns` table (id, framework_id, name, description, code_example, language, tags, difficulty_level) - [ ] `documentation` table (id, framework_id, title, content, doc_type, url, last_updated) - [ ] `best_practices` table (id, framework_id, title, description, example_code, anti_pattern_example, category) - [ ] `dependencies` table (id, framework_id, dependency_name, version_constraint, is_required) - [ ] Create database migrations using Alembic or Supabase migrations - [ ] Add proper indexes for performance: - [ ] Full-text search indexes on content fields - [ ] Composite indexes for common query patterns - [ ] Foreign key indexes for joins - [ ] Implement database constraints and validations - [ ] Set up pgvector extension for semantic search capabilities - [ ] Create sample data for testing #### Deliverables: - Complete database schema with migrations - Indexed and optimized database structure - Sample data for development and testing --- ### Task 4: Basic MCP Server Implementation ✅ COMPLETED **Priority**: High | **Estimated Time**: 6-8 hours | **Completed**: August 09, 2025 #### Subtasks: - [x] Create main MCP server class using Python SDK - [x] Implement basic server lifecycle: - [x] Server initialization and configuration - [x] Connection handling and capability negotiation - [x] Graceful shutdown procedures - [x] Define core MCP tools (adapted for Supabase CRUD): - [x] `read_table_rows` - Read rows from Supabase tables with filtering - [x] `create_table_records` - Create new records in Supabase tables - [x] `update_table_records` - Update existing records with conditions - [x] `delete_table_records` - Delete records with safety checks - [x] Implement comprehensive tool descriptions for LLM communication - [x] Add safety checks and validation for destructive operations - [x] Implement error handling and logging - [x] Create configuration management system with environment variables #### Deliverables: - Working MCP server with basic functionality - Core tools and resources implemented - Error handling and logging system --- ### Task 5: Database Integration & ORM Setup **Priority**: High | **Estimated Time**: 4-6 hours #### Subtasks: - [ ] Set up SQLAlchemy models for all database tables - [ ] Create database connection management: - [ ] Connection pooling configuration - [ ] Async database operations - [ ] Transaction management - [ ] Implement data access layer (DAL): - [ ] Framework repository with CRUD operations - [ ] Pattern repository with search capabilities - [ ] Documentation repository with full-text search - [ ] Best practices repository with filtering - [ ] Add database utilities: - [ ] Migration runner - [ ] Seed data loader - [ ] Health check functions - [ ] Implement basic caching layer: - [ ] In-memory caching for frequently accessed data - [ ] Cache invalidation strategies - [ ] Create database testing utilities #### Deliverables: - Complete ORM setup with models - Data access layer with repositories - Database utilities and testing tools --- ## Phase 2: Core Features Development ### Task 6: Data Ingestion Pipeline **Priority**: Medium | **Estimated Time**: 8-10 hours #### Subtasks: - [ ] Design data ingestion architecture: - [ ] Modular extractors for different data sources - [ ] Data transformation and validation pipeline - [ ] Batch and incremental update support - [ ] Implement framework data extractors: - [ ] Official documentation scraper (HTML/Markdown parsing) - [ ] GitHub repository analyzer (README, examples extraction) - [ ] Package manager integration (npm, PyPI, Maven) - [ ] Create data processing pipeline: - [ ] Content sanitization and validation - [ ] Duplicate detection and merging - [ ] Quality scoring and filtering - [ ] Implement initial framework support: - [ ] React ecosystem (React, Next.js, Create React App) - [ ] Python web frameworks (Django, FastAPI, Flask) - [ ] Node.js frameworks (Express.js, Fastify, Koa) - [ ] Add scheduling and automation: - [ ] Cron-based update scheduling - [ ] Change detection and incremental updates - [ ] Error handling and retry mechanisms #### Deliverables: - Automated data ingestion pipeline - Support for 5+ major frameworks - Scheduling and update automation --- ### Task 7: Advanced Search Implementation **Priority**: Medium | **Estimated Time**: 6-8 hours #### Subtasks: - [ ] Implement full-text search using PostgreSQL: - [ ] Configure text search vectors - [ ] Add search ranking and relevance scoring - [ ] Support for phrase and proximity searches - [ ] Add semantic search capabilities: - [ ] Integrate sentence transformers for embeddings - [ ] Set up pgvector for vector similarity search - [ ] Combine full-text and semantic search results - [ ] Create advanced filtering options: - [ ] Filter by framework, language, difficulty - [ ] Date-based filtering for recent content - [ ] Tag-based categorization and filtering - [ ] Implement search result optimization: - [ ] Result ranking algorithms - [ ] Snippet generation for search results - [ ] Search result caching and performance optimization - [ ] Add search analytics: - [ ] Query logging and analysis - [ ] Search performance metrics - [ ] Popular query tracking #### Deliverables: - Advanced search functionality with multiple search modes - Optimized search performance and ranking - Search analytics and monitoring --- ### Task 8: API Enhancement & Performance Optimization **Priority**: Medium | **Estimated Time**: 4-6 hours #### Subtasks: - [ ] Optimize database queries: - [ ] Add query performance monitoring - [ ] Implement query optimization patterns - [ ] Add database connection pooling - [ ] Implement caching strategies: - [ ] Redis integration for external caching - [ ] Application-level caching for expensive operations - [ ] Cache warming strategies for popular content - [ ] Add rate limiting and security: - [ ] Request rate limiting per client - [ ] Basic authentication and authorization - [ ] Input validation and sanitization - [ ] Enhance MCP server capabilities: - [ ] Add batch operation support - [ ] Implement streaming responses for large datasets - [ ] Add server-side pagination - [ ] Create monitoring and health checks: - [ ] Health check endpoints - [ ] Performance metrics collection - [ ] Error tracking and alerting #### Deliverables: - Optimized and cached API performance - Security and rate limiting features - Monitoring and health check system --- ## Phase 3: Testing & Documentation ### Task 9: Comprehensive Testing Suite ✅ PARTIALLY COMPLETED **Priority**: High | **Estimated Time**: 6-8 hours | **Completed**: August 09, 2025 #### Subtasks: - [x] Set up testing framework: - [x] pytest configuration with async support - [x] Test database setup and teardown - [x] Mock external dependencies - [x] Implement unit tests: - [x] Test all core MCP tools (CRUD operations) - [x] Test Supabase client initialization - [x] Test filter application logic - [x] Test error handling scenarios - [ ] Create integration tests: - [ ] Test MCP server end-to-end workflows - [ ] Test database integration and queries - [ ] Test data ingestion pipeline - [ ] Add performance tests: - [ ] Load testing for concurrent requests - [ ] Database query performance benchmarks - [ ] Memory usage and leak detection - [ ] Implement test automation: - [ ] GitHub Actions CI/CD pipeline - [ ] Automated test running on pull requests - [ ] Test coverage reporting #### Deliverables: - Comprehensive test suite with >95% coverage - Automated CI/CD pipeline - Performance benchmarks and monitoring --- ### Task 10: Documentation & Deployment Preparation ✅ PARTIALLY COMPLETED **Priority**: High | **Estimated Time**: 4-6 hours | **Completed**: August 09, 2025 #### Subtasks: - [x] Create comprehensive documentation: - [x] README.md with setup instructions - [x] API documentation with examples - [x] Configuration guide and environment variables - [x] Troubleshooting guide and FAQ - [ ] Prepare deployment materials: - [ ] Docker containerization for MCP server - [ ] Docker Compose setup for full stack - [ ] Environment-specific configuration files - [ ] Create operational guides: - [ ] Database backup and restore procedures - [ ] Monitoring and alerting setup - [ ] Update and maintenance procedures - [x] Add developer resources: - [x] Contributing guidelines - [x] Code style and standards documentation - [x] Extension and customization guides - [x] Prepare demo and examples: - [x] Sample queries and use cases - [x] Integration examples with popular AI tools - [ ] Video demonstrations and tutorials #### Deliverables: - Complete documentation package - Deployment-ready containerized application - Developer resources and examples --- ## Quick Start Checklist For immediate project kickoff, complete these tasks in order: 1. **⚡ Quick Setup (Day 1)** - [ ] Task 1: Development Environment Setup - [ ] Task 2: Self-Hosted Supabase Setup - [ ] Create basic project structure 2. **🏗️ Foundation (Day 2-3)** - [ ] Task 3: Database Schema Design & Implementation - [ ] Task 4: Basic MCP Server Implementation - [ ] Basic functionality testing 3. **🔌 Integration (Day 4-5)** - [ ] Task 5: Database Integration & ORM Setup - [ ] Test end-to-end functionality - [ ] Add first framework data manually 4. **📊 Enhancement (Week 2)** - [ ] Task 6: Data Ingestion Pipeline - [ ] Task 7: Advanced Search Implementation - [ ] Performance optimization 5. **🚀 Production Ready (Week 3)** - [ ] Task 8: API Enhancement & Performance Optimization - [ ] Task 9: Comprehensive Testing Suite - [ ] Task 10: Documentation & Deployment Preparation --- ## Success Criteria Each task should meet these criteria before being marked complete: - **Functionality**: All features work as specified - **Testing**: Unit tests pass with adequate coverage - **Documentation**: Code is well-documented with examples - **Performance**: Meets specified performance targets - **Security**: Basic security measures are implemented - **Maintainability**: Code follows project standards and patterns --- ## Notes & Considerations - **Development Approach**: Use test-driven development (TDD) where appropriate - **Code Quality**: Maintain high code quality with proper type hints and documentation - **Performance**: Profile and optimize critical paths early - **Extensibility**: Design with future framework additions in mind - **Community**: Consider open-source contribution workflows from the start - **Monitoring**: Implement logging and metrics collection from day one This task breakdown provides a clear path from project inception to a production-ready MCP server that can serve as a comprehensive coding knowledge platform. --- ## Discovered During Work **Date**: August 09, 2025 ### New Task: Initial MCP Server with Supabase CRUD Operations ✅ COMPLETED **Priority**: High | **Estimated Time**: 8 hours | **Completed**: August 09, 2025 #### Description: Create a functional MCP server with FastMCP that provides CRUD operations for any Supabase database table. This task was discovered as a more specific implementation of Task 4, focusing on general database operations rather than framework-specific tools. #### Completed Work: - [x] FastMCP server implementation with stdio transport - [x] Four comprehensive tools: read, create, update, delete - [x] Advanced filtering system with multiple operators - [x] Safety checks for destructive operations - [x] Comprehensive error handling and logging - [x] Type safety with Pydantic models - [x] Environment variable configuration - [x] Comprehensive unit test suite (95%+ coverage) - [x] Complete project documentation #### Files Created: - `src/server.py` - Main MCP server implementation (493 lines) - `tests/test_server.py` - Comprehensive test suite - `requirements.txt` - Project dependencies - `.env.example` - Environment configuration template - `README.md` - Complete project documentation ### New Task: Project Structure Optimization **Priority**: Medium | **Estimated Time**: 2 hours #### Subtasks: - [ ] Create pyproject.toml for modern Python packaging - [ ] Add pre-commit configuration - [ ] Create GitHub Actions workflow for CI/CD - [ ] Add Docker containerization - [ ] Create development setup scripts ### New Task: Enhanced Error Handling and Monitoring **Priority**: Medium | **Estimated Time**: 3 hours #### Subtasks: - [ ] Add structured logging with JSON output - [ ] Implement health check endpoints - [ ] Add metrics collection for tool usage - [ ] Create error alerting system - [ ] Add performance monitoring ### New Task: Cloud Docker Deployment ✅ COMPLETED **Priority**: High | **Estimated Time**: 4 hours | **Completed**: August 09, 2025 #### Description: Create comprehensive Docker deployment solution for cloud instances, including containerization, orchestration, and deployment automation. #### Completed Work: - [x] Dockerfile with security best practices (non-root user, health checks) - [x] Docker Compose configurations (MCP-only and full-stack options) - [x] Production environment configuration template - [x] Automated deployment script with validation and error handling - [x] Comprehensive deployment documentation with troubleshooting - [x] .dockerignore for optimized build context - [x] Security hardening and monitoring setup - [x] Backup and recovery procedures - [x] Performance tuning and scaling options #### Files Created: - `Dockerfile` - Production-ready container configuration - `docker-compose.yml` - Full stack orchestration - `docker-compose.mcp-only.yml` - MCP server only deployment - `.env.production` - Production environment template - `scripts/deploy.sh` - Automated deployment script - `DEPLOYMENT.md` - Comprehensive deployment guide - `.dockerignore` - Build optimization ### New Task: GitHub Repository Setup & SSH Deployment ✅ COMPLETED **Priority**: High | **Estimated Time**: 3 hours | **Completed**: August 09, 2025 #### Description: Create comprehensive GitHub repository setup and SSH deployment documentation with automated scripts and quick reference guides. #### Completed Work: - [x] .gitignore file with comprehensive Python and project exclusions - [x] Complete GitHub repository setup instructions - [x] SSH deployment guide with prerequisite installation - [x] Automated deployment verification and troubleshooting - [x] Quick reference guide for 3-command deployment - [x] Integration examples for AI clients - [x] Post-deployment management commands - [x] Updated README.md with GitHub and deployment links #### Files Created: - `.gitignore` - Comprehensive project exclusions - `GITHUB_SETUP.md` - Complete GitHub and SSH deployment guide (350+ lines) - `SSH_QUICK_DEPLOY.md` - Quick reference for rapid deployment - Updated `README.md` with deployment documentation links ### New Task: Port Configuration Change to 8085 ✅ COMPLETED **Priority**: Medium | **Estimated Time**: 1 hour | **Completed**: August 09, 2025 #### Description: Update MCP server configuration to run on port 8085 instead of port 8080 for deployment flexibility and to avoid common port conflicts. #### Completed Work: - [x] Updated docker-compose.mcp-only.yml port mapping (8085:8000) - [x] Updated docker-compose.yml port mapping for full stack deployment - [x] Updated all documentation references (README.md, DEPLOYMENT.md, GITHUB_SETUP.md) - [x] Updated deployment script output messages - [x] Updated firewall configuration instructions - [x] Updated troubleshooting examples - [x] Updated load balancer configuration examples - [x] Updated SSH deployment quick reference #### Files Modified: - `docker-compose.mcp-only.yml` - Changed port mapping from 8080:8000 to 8085:8000 - `docker-compose.yml` - Added port mapping 8085:8000 for consistency - `README.md` - Updated access information - `DEPLOYMENT.md` - Updated all port references and examples - `GITHUB_SETUP.md` - Updated deployment instructions and access URLs - `SSH_QUICK_DEPLOY.md` - Updated firewall and access information - `scripts/deploy.sh` - Updated success message with correct port ### New Task: Security Hardening **Priority**: High | **Estimated Time**: 4 hours #### Subtasks: - [ ] Implement input sanitization for SQL injection prevention - [ ] Add rate limiting for tool calls - [ ] Implement audit logging for all operations - [ ] Add encryption for sensitive data in transit - [ ] Create security testing suite