MCP Play Sound Server

# PROJECT SUMMARY: MCP Play Sound Server > **Primary Entry Point for AI Agents and New Contributors** > Last Updated: 2025-01-27 | Status: 🚧 Active Development ## 📋 Project Overview **Project Name**: MCP Play Sound Server **Purpose**: Provide audio playback functionality for agentic coding agents via Model Context Protocol (MCP) **Primary Use Case**: Alert users when AI coding tasks are completed by playing sound notifications **Target Platform**: Initially macOS, with future cross-platform support (Windows, Linux) ### Key Value Proposition - **For AI Agents**: Simple MCP tool to play notification sounds when tasks complete - **For Users**: Auditory feedback when stepping away from computer during long-running AI tasks - **For Developers**: Reliable, configurable audio notification system with intelligent fallbacks ## 🛠️ Technical Stack ### Primary Implementation (Current) - **Language**: Python 3.10+ - **MCP Framework**: FastMCP for simplified Python server implementation - **Audio Libraries**: - Primary: `simpleaudio` (native WAV playback, cross-platform) - Secondary: `pydub` (format conversion, fallback support) - **Package Management**: `uv` (preferred) / `pip` with `pyproject.toml` - **Configuration**: Environment variables with comprehensive validation - **Testing**: `pytest` with async support and audio mocking ### Alternative Implementation (Documented) - **Language**: Node.js/TypeScript - **MCP Framework**: Official TypeScript MCP SDK - **Audio Strategy**: System command-line tools (`afplay`, `powershell`, `sox`) - **Package Management**: NPM with TypeScript compilation - **Status**: Fully researched and documented, not implemented ### Audio Strategy Comparison | Aspect | Python (Current) | Node.js (Alternative) | |--------|------------------|----------------------| | **Audio Quality** | Direct native control | System command subprocess | | **Reliability** | Consistent cross-platform | Depends on system tools | | **Installation** | Requires compilation | No compilation needed | | **Format Support** | Excellent (with conversion) | Limited to system support | ## 📊 Current Status & Progress Tracking ### Implementation Phase: **Foundation → Phase 1 Transition** #### ✅ Completed Milestones - [x] **Project Foundation** (Week 0) - [x] Git repository initialized with proper structure - [x] Comprehensive research and documentation completed - [x] Python package scaffolding created (`pyproject.toml`, `src/` structure) - [x] Configuration management system designed - [x] Documentation organized by implementation language - [x] **Research & Analysis** (Week 0) - [x] Python audio library analysis (simpleaudio, pydub, alternatives) - [x] Node.js/TypeScript alternative analysis completed - [x] Cross-platform system audio tools research - [x] Security and performance considerations documented - [x] Implementation comparison with weighted decision matrix #### 🚧 Current Sprint: Phase 1 - Foundation Setup (Week 1) **Goal**: Establish project structure and basic MCP server **In Progress**: - [ ] **Project Scaffolding** - [x] Initialize Python package structure - [x] Set up `pyproject.toml` with dependencies - [x] Create basic directory structure - [x] Initialize git repository - [ ] Set up basic CI/CD (GitHub Actions) - [ ] **Basic MCP Server** - [ ] Implement minimal MCP server using FastMCP - [ ] Create basic tool: `play_notification_sound` - [ ] Add configuration management - [ ] Implement basic error handling - [ ] **Development Environment** - [ ] Set up development dependencies (pytest, black, mypy) - [ ] Create development scripts - [ ] Set up pre-commit hooks - [ ] Configure IDE settings #### 🎯 Next Immediate Tasks (Priority Order) 1. **Set up development environment** - Install dependencies, configure tools 2. **Implement basic MCP server** - Create minimal working server with FastMCP 3. **Add configuration loading** - Environment variable parsing and validation 4. **Create placeholder audio player** - Basic structure without actual audio yet 5. **Set up testing framework** - pytest configuration with mocking strategy #### 🚫 Current Blockers - None identified #### 📅 Upcoming Phases - **Phase 2** (Week 2): Core audio implementation with simpleaudio - **Phase 3** (Week 3): Custom audio support and fallback system - **Phase 4** (Week 4): Testing and quality assurance - **Phase 5** (Week 5): Documentation and PyPI release ## 🏗️ Architecture Summary ### High-Level Components ``` MCP Client (Claude Desktop) ↓ MCP Protocol PlaySoundServer (FastMCP) ↓ Tool Calls AudioPlayer (simpleaudio/pydub) ↓ File System [Default WAV] + [Custom Audio Files] ↓ Audio Output System Audio Device ``` ### Key Design Decisions 1. **Audio Strategy**: Primary simpleaudio (native) + secondary pydub (conversion) 2. **Fallback System**: Always fall back to bundled default WAV if custom audio fails 3. **Configuration**: Environment variables with comprehensive validation 4. **Security**: File path validation, extension allowlisting, size limits 5. **MCP Pattern**: FastMCP for simplified Python development with decorators ### Security Considerations - **File Validation**: Path traversal prevention, extension allowlisting - **Size Limits**: Maximum 10MB audio files by default - **Path Restrictions**: Optional restriction to user home directory - **Resource Protection**: Playback timeouts, memory limits, concurrent limits ## 🔄 Development Workflow & Rules ### Branching Strategy - **Main Branch**: `main` - Always stable, deployable code - **Feature Branches**: `feature/description` - All development work - **Rule**: ⚠️ **NEVER commit directly to main** - Always use feature branches ### Commit Guidelines - **Frequency**: Commit early and often with descriptive messages - **Format**: Use conventional commits (feat:, fix:, docs:, etc.) - **Scope**: Keep commits focused and atomic ### Testing Requirements - **Strategy**: Test-Driven Development (TDD) - **Rule**: Write tests FIRST, then implementation - **Coverage**: Aim for 95%+ test coverage - **Mocking**: Mock audio output for testing (no actual sound during tests) ### Merge Criteria - ✅ All tests must pass - ✅ Code coverage maintained - ✅ No linting errors (black, mypy, ruff) - ✅ Documentation updated if needed ### Code Quality Tools - **Formatting**: `black` (automatic code formatting) - **Type Checking**: `mypy` (static type analysis) - **Linting**: `ruff` (fast Python linter) - **Testing**: `pytest` with async and coverage support ## 🚀 Quick Start for New Contributors ### Setup Instructions ```bash # Clone and setup git clone <repository-url> cd play-sound-mcp-server # Install dependencies (using uv - recommended) uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -e ".[dev]" # Alternative: using pip python -m venv .venv source .venv/bin/activate pip install -e ".[dev]" ``` ### Development Commands ```bash # Run tests pytest # Format code black src/ tests/ # Type checking mypy src/ # Linting ruff check src/ tests/ # Run all quality checks pytest && black --check src/ tests/ && mypy src/ && ruff check src/ tests/ ``` ### Key Files to Understand - `src/mcp_server_play_sound/config.py` - Configuration management - `pyproject.toml` - Python package configuration and dependencies - `tests/` - Test suite (when created) ## 📚 Documentation Map ### Implementation-Specific Documentation - **Python Implementation**: [`docs/python/`](docs/python/) - [Research Findings](docs/python/research-findings.md) - Audio library analysis - [Architecture Design](docs/python/architecture.md) - Detailed system design - [Implementation Plan](docs/python/implementation-plan.md) - 5-week roadmap - **Node.js Alternative**: [`docs/nodejs/`](docs/nodejs/) - [Node.js Analysis](docs/nodejs/nodejs-alternatives-analysis.md) - Libraries and patterns - [TypeScript Implementation](docs/nodejs/typescript-mcp-implementation.md) - Complete guide ### Cross-Platform Documentation - **Configuration**: [Configuration Schema](docs/configuration-schema.md) - **System Tools**: [System Audio Tools Analysis](docs/system-audio-tools-analysis.md) - **Comparison**: [Implementation Comparison Summary](docs/implementation-comparison-summary.md) ### Project Documentation - **Main README**: [README.md](README.md) - User-facing documentation - **This Document**: [PROJECT_SUMMARY.md](PROJECT_SUMMARY.md) - AI agent entry point ## 🔄 Maintenance Instructions ### Update Triggers - **Weekly**: Refresh progress tracking section - **After Each Phase**: Update completed milestones and current status - **After Major Changes**: Update architecture summary and technical stack - **Documentation Changes**: Ensure all links remain valid ### Maintenance Checklist - [ ] Update "Last Updated" date in header - [ ] Refresh progress tracking with completed tasks - [ ] Update "Next Immediate Tasks" with current priorities - [ ] Verify all documentation links are valid - [ ] Update blockers/dependencies section - [ ] Ensure technical stack information is current --- **For AI Agents**: This document provides complete project context. Start here for any new chat session to understand current state, immediate next steps, and development workflow. All relative links are valid from repository root.