Shannon MCP

# Shannon MCP Implementation Status ## Phase 1: Core Infrastructure (COMPLETED ✓) - ✓ 1.1: Initialize Python project with Poetry - ✓ 1.2: Configure pyproject.toml with dependencies - ✓ 1.3: Set up directory structure - ✓ 1.4: Implement logging configuration - ✓ 1.5: Implement error handling framework - ✓ 1.6: Add notification system - ✓ 2.1: Implement FastMCP server initialization - ✓ 2.2: Create base manager abstract class - ✓ 2.3: Implement error handling framework - ✓ 2.4: Add notification system - ✓ 2.5: Create configuration loader - ✓ 2.6: Implement graceful shutdown ## Binary Manager (COMPLETED ✓) - ✓ 3.1: Implement which command discovery - ✓ 3.2: Add NVM path checking - ✓ 3.3: Implement standard path search - ✓ 3.4: Create version parsing logic - ✓ 3.5: Add database persistence - ✓ 3.6: Implement update checking ## Session Manager (COMPLETED ✓) - ✓ 4.1: Create subprocess execution wrapper - ✓ 4.2: Implement JSONL stream parser - ✓ 4.3: Add message type handlers - ✓ 4.4: Create session caching logic - ✓ 4.5: Implement cancellation system - ✓ 4.6: Add timeout handling ## Streaming System (COMPLETED ✓) - ✓ 5.1: Implement async stream reader - ✓ 5.2: Add backpressure handling - ✓ 5.3: Create message buffering - ✓ 5.4: Implement notification forwarding - ✓ 5.5: Add metrics extraction - ✓ 5.6: Create error recovery ## Agent Manager (COMPLETED ✓) - ✓ 6.1: Create agent database schema - ✓ 6.2: Implement CRUD operations - ✓ 6.3: Add execution tracking - ✓ 6.4: Create GitHub import logic - ✓ 6.5: Implement metrics collection - ✓ 6.6: Add category management ## Components Implemented ### Core Infrastructure - **BaseManager**: Abstract base class for all managers with lifecycle management - **Configuration System**: Comprehensive config loading with hot reload support - **Logging System**: Structured logging with multiple formatters - **Error Handling**: Custom error types with context management - **Notification System**: Event-driven pub/sub with priorities - **Shutdown Manager**: Graceful shutdown with phased component termination ### Binary Manager - **Discovery Strategies**: which, NVM, standard paths, database cache - **Cross-platform Support**: Windows, macOS, Linux - **Version Management**: Semantic version parsing and constraints - **Update Checking**: Periodic update check support - **Database Persistence**: SQLite storage of discovered binaries ### Session Manager - **Subprocess Management**: Async subprocess execution with Claude Code - **Session Lifecycle**: Created → Starting → Running → Completed/Failed/Cancelled - **JSONL Streaming**: Real-time parsing with buffering - **Checkpoint Support**: Integration with checkpoint system - **Session Caching**: LRU cache with persistence ### Streaming Components - **StreamBuffer**: Efficient line buffering with backpressure - **JSONLParser**: Strict JSON parsing with schema validation - **StreamProcessor**: Message type routing and handling - **Metrics Collection**: Token counting and performance tracking ### Agent System - **26 Specialized Agents**: Comprehensive agent definitions - **Task Assignment**: Score-based agent selection - **Execution Tracking**: Full task lifecycle management - **GitHub Import**: YAML-based agent definitions - **Collaboration Tracking**: Inter-agent communication - **Performance Metrics**: Success rate and timing tracking ### Cache System - **LRU Cache**: Generic cache with size/count limits - **Session Cache**: Specialized session caching - **Persistence**: JSON-based cache persistence - **TTL Support**: Time-based expiration - **Statistics**: Hit rate and usage tracking ## Key Design Patterns 1. **Async-First**: All components use asyncio for concurrency 2. **Manager Pattern**: BaseManager provides consistent lifecycle 3. **Event-Driven**: Notification system for loose coupling 4. **Factory Pattern**: Creation methods for complex objects 5. **Strategy Pattern**: Multiple discovery strategies in Binary Manager 6. **Observer Pattern**: Event subscriptions and handlers 7. **Repository Pattern**: Database operations abstracted ## Database Schema ### Binary Manager Tables - `binaries`: Discovered Claude Code installations - `discovery_history`: Discovery attempt tracking ### Session Manager Tables - `sessions`: Active and historical sessions - `session_messages`: Message history per session ### Agent Manager Tables - `agents`: Agent registry - `agent_capabilities`: Agent skills and expertise - `agent_metrics`: Performance tracking - `agent_executions`: Task execution history - `agent_messages`: Inter-agent communication - `agent_collaborations`: Collaboration tracking ## Phase 2: Advanced Features (IN PROGRESS) ### MCP Transport Layer (COMPLETED ✓) - ✓ 7.1: Implement base transport interface - ✓ 7.2: Create STDIO transport with process support - ✓ 7.3: Implement SSE transport with reconnection - ✓ 7.4: Add transport manager for connection pooling - ✓ 7.5: Integrate with MCP server manager - ✓ 7.6: Add transport error handling and recovery ### Checkpoint System (COMPLETED ✓) - ✓ 8.1: Implement content-addressable storage (CAS) - ✓ 8.2: Add Zstd compression to CAS - ✓ 8.3: Create checkpoint manager - ✓ 8.4: Implement timeline tracking - ✓ 8.5: Add diff and restore capabilities - ✓ 8.6: Implement garbage collection ### Hooks Framework (COMPLETED ✓) - ✓ 9.1: Design hook configuration schema - ✓ 9.2: Implement hook registry - ✓ 9.3: Create execution engine - ✓ 9.4: Add template support - ✓ 9.5: Implement security sandboxing - ✓ 9.6: Add hook testing utilities ### Slash Commands (COMPLETED ✓) - ✓ 10.1: Create markdown parser - ✓ 10.2: Implement frontmatter extraction - ✓ 10.3: Add command registry - ✓ 10.4: Create execution framework - ✓ 10.5: Implement categorization - ✓ 10.6: Add command validation ### Analytics Engine (COMPLETED ✓) - ✓ 11.1: Create JSONL writer with rotation - ✓ 11.2: Implement metrics parser with streaming - ✓ 11.3: Add aggregation logic for multiple dimensions - ✓ 11.4: Create multi-format report generator - ✓ 11.5: Implement data cleanup with retention policies - ✓ 11.6: Add export functionality (JSON, CSV, JSONL, Parquet, Excel, ZIP) ### Process Registry (COMPLETED ✓) - ✓ 12.1: Create registry storage with SQLite - ✓ 12.2: Implement PID tracking with psutil - ✓ 12.3: Add process validation and health checks - ✓ 12.4: Create cleanup routines for stale processes - ✓ 12.5: Implement resource monitoring with alerts ## Components Implemented (Phase 2) ### MCP Transport Layer - **Base Transport**: Abstract interface with connection lifecycle - **STDIO Transport**: Direct stdin/stdout communication - **Process STDIO Transport**: Subprocess-based communication - **SSE Transport**: Server-Sent Events with auto-reconnection - **Transport Manager**: Connection pooling and routing - **Error Recovery**: Automatic reconnection and backoff ### Checkpoint System - **Content-Addressable Storage**: SHA-256 based deduplication - **Zstd Compression**: Configurable compression levels - **Checkpoint Manager**: Git-like checkpoint creation and management - **Timeline Tracking**: Full history with branch support - **Diff Engine**: Efficient change detection - **Garbage Collection**: Automatic cleanup of unreferenced content ### Hooks Framework - **Configuration Schema**: Flexible hook definitions with triggers and actions - **Hook Registry**: Dynamic registration and discovery - **Execution Engine**: Async execution with timeout handling - **Template System**: Pre-built templates for common workflows - **Security Sandbox**: Safe execution environment with restrictions ### Slash Commands - **Markdown Parser**: Parse .md files with frontmatter - **Command Registry**: Dynamic command registration - **Execution Framework**: Priority-based execution with status tracking - **Auto-categorization**: ML-ready categorization system ### Analytics Engine - **JSONL Writer**: Real-time metrics with rotation and compression - **Stream Parser**: Memory-efficient parsing of large datasets - **Aggregator**: Multi-dimensional aggregation (time, session, user, tool) - **Report Generator**: JSON, Markdown, HTML, CSV, and text reports - **Data Cleaner**: Automated retention with configurable policies - **Exporter**: Rich export formats including Parquet and Excel ### Process Registry - **Registry Storage**: SQLite backend with WAL mode for concurrent access - **Process Tracker**: Real-time PID tracking with psutil integration - **Process Validator**: Health checks and integrity validation - **Registry Cleaner**: Automatic cleanup of zombies and stale processes - **Resource Monitor**: CPU, memory, disk I/O monitoring with alerts - **Cross-session Messaging**: Inter-process communication support ## Phase 3: Testing & Documentation (IN PROGRESS) ### Testing Infrastructure (IN PROGRESS) - ✓ 14.1: Set up test infrastructure with pytest configuration - ✓ 14.2: Create fixture generators (COMPLETED) - Comprehensive fixture generators for all components - Binary, Session, Agent, Storage, Streaming fixtures - Analytics and Registry specific fixtures - Mock helpers and async utilities - Performance measurement tools - Test database utilities - ✓ 14.3: Implement streaming tests (COMPLETED) - Tests for JSONL stream reader - Tests for JSONL parser - Tests for stream handler - Integration tests for streaming components - ✓ 14.4: Add performance benchmarks (COMPLETED) - Comprehensive benchmarks for all components: - Streaming: throughput, parsing, backpressure, concurrency - CAS: write/read performance, compression, deduplication - Analytics: metrics writing, parsing, aggregation - Registry: storage, tracking, monitoring, cleanup - Session: lifecycle, streaming, caching, concurrency - Binary: discovery, execution, validation, caching - Checkpoint: creation, retrieval, branching, merging - Hooks: registration, execution, filtering, chaining - Transport: connection, messaging, streaming, multiplexing - Commands: parsing, execution, chaining, autocomplete - Benchmark runner with JSON and text reports - Visualization script for generating performance charts - ✓ 14.5: Create comprehensive functional tests (COMPLETED) - Comprehensive functional tests for all components: - Binary discovery and execution tests - Session management with real Claude Code - JSONL streaming integration tests - Checkpoint system with session states - Agent system with task execution - Analytics and monitoring tests - Process registry with real processes - Hooks and commands functional tests - Full integration test suite - EXHAUSTIVE functional tests for EVERY component: - test_complete_binary_manager.py - Tests ALL Binary Manager functions - test_complete_session_manager.py - Tests ALL Session Manager functions - test_complete_streaming.py - Tests ALL streaming functionality - test_complete_checkpoint.py - Tests ENTIRE checkpoint system - test_complete_agent.py - Tests COMPLETE agent system - test_complete_analytics.py - Tests ALL analytics features - test_complete_hooks.py - Tests ENTIRE hooks system - test_complete_commands.py - Tests COMPLETE command system - All tests use real Claude Code execution, no mocks - Tests cover EVERY single function and feature comprehensively - Test runner with reporting and options ### Documentation (NOT STARTED) - 15.1: Write API documentation - 15.2: Create user guides ## Components Implemented (Phase 3) ### Test Fixtures - **FixtureGenerator**: Generic test data generation - **MockDataGenerator**: Mock responses and content - **BinaryFixtures**: Mock binaries and discovery results - **SessionFixtures**: Session lifecycle and streaming data - **AgentFixtures**: Agent definitions and conversations - **StorageFixtures**: CAS and database test data - **StreamingFixtures**: JSONL streams and error scenarios - **AnalyticsFixtures**: Metrics and aggregation data - **RegistryFixtures**: Process entries and monitoring data ### Test Utilities - **AsyncTestHelper**: Async testing utilities and decorators - **MockProcess**: psutil.Process mock for testing - **MockSubprocess**: Subprocess mock with streaming - **MockFileSystem**: In-memory filesystem for testing - **TestDatabase**: SQLite test database with fixtures - **PerformanceTimer**: Execution time and resource tracking - **PerformanceMonitor**: Multi-run performance analysis ## Next Steps (Phase 3 Continued) 1. **Testing & Documentation** (Tasks 14.3-15.5) - Implement streaming tests - Add performance benchmarks - Create error scenario tests - Write API documentation - Create user guides