Claude Desktop Real-time Audio MCP

A Model Context Protocol (MCP) server that enables real-time microphone input for Claude Desktop on Windows. This project bridges the gap between Claude's conversational AI and live voice input through Windows Audio Session API (WASAPI) integration and real-time speech recognition.

🚀 Features

• Real-time Audio Capture: Low-latency microphone input using Windows WASAPI
• Multiple Speech-to-Text Engines: Support for OpenAI Whisper, Azure Speech, and Google Speech
• MCP Integration: Seamless integration with Claude Desktop through the Model Context Protocol
• Voice Activity Detection: Intelligent silence detection and audio chunking
• Device Management: Automatic audio device enumeration and selection
• Cross-format Support: Support for multiple audio formats and sample rates
• Performance Optimized: Minimal latency for natural conversation flow

🏗️ Project Status

🚧 Under Active Development

This project is currently in the research and development phase. See the Project Roadmap below for detailed milestones and progress tracking.

🎯 Vision

Enable natural, voice-driven conversations with Claude Desktop by providing:

• Sub-500ms latency from speech to text
• Robust error handling and graceful degradation
• Easy installation and configuration
• Support for multiple audio input sources
• Extensible architecture for future enhancements

🗺️ Project Roadmap

Phase 1: Research & Architecture (Target: June 15, 2025)

• Research Windows WASAPI APIs and real-time audio capture methods
• Design MCP server architecture for audio streaming
• Create proof-of-concept WASAPI audio capture in C++
• Evaluate speech-to-text integration options
• Set up development environment and toolchain

Phase 2: Core Audio Implementation (Target: July 1, 2025)

• Implement WASAPI audio capture module in C++
• Create Node.js FFI bindings for audio module
• Develop real-time audio buffering and streaming system
• Implement audio format conversion and processing pipeline
• Create device enumeration and selection functionality

Phase 3: MCP Server Development (Target: July 20, 2025)

• Implement MCP server using TypeScript SDK
• Create audio capture tools for MCP interface
• Implement speech-to-text integration tools
• Develop configuration and device management resources
• Add error handling and graceful shutdown mechanisms

Phase 4: Speech Recognition Integration (Target: August 10, 2025)

• Integrate OpenAI Whisper for local processing
• Add Azure Speech Services integration
• Implement Google Speech-to-Text support
• Develop real-time transcription with chunking strategies
• Create voice activity detection and silence handling

Phase 5: Claude Desktop Integration (Target: August 25, 2025)

• Test integration with Claude Desktop configuration
• Optimize latency and performance for real-time use
• Implement user preferences and configuration UI
• Create installation and setup automation
• Develop usage examples and demo scenarios

Phase 6: Testing & Documentation (Target: September 15, 2025)

• Create comprehensive test suite for all components
• Write detailed installation and usage documentation
• Develop troubleshooting guides and FAQ
• Perform security and performance audits
• Prepare release packages and distribution

🏛️ Architecture Overview

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   Claude        │    │  MCP Server      │    │  Audio Module   │
│   Desktop       │◄──►│  (TypeScript)    │◄──►│  (C++ WASAPI)   │
│                 │    │                  │    │                 │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                                │                         │
                                ▼                         ▼
                        ┌──────────────────┐    ┌─────────────────┐
                        │  Speech-to-Text  │    │  Windows Audio  │
                        │  Services        │    │  System         │
                        │  (Whisper/Azure/ │    │  (Microphone)   │
                        │   Google)        │    │                 │
                        └──────────────────┘    └─────────────────┘

🛠️ Technology Stack

• Core MCP Server: TypeScript with @modelcontextprotocol/sdk
• Audio Capture: C++ with Windows WASAPI
• Node.js Integration: node-gyp for native module compilation
• Speech Recognition:
  • OpenAI Whisper (local processing)
  • Azure Speech Services (cloud)
  • Google Speech-to-Text (cloud)
• Build System: node-gyp, TypeScript compiler
• Documentation: Markdown with GitHub Pages

📋 Prerequisites

• Windows 10/11 (Windows 7+ with WASAPI support)
• Node.js 16+ with npm
• Visual Studio Build Tools (for native compilation)
• Python 3.8+ (for node-gyp)
• Git for version control

🚦 Quick Start

Note: This project is under development. Installation instructions will be available with the first release.

# Clone the repository
git clone https://github.com/joelfuller2016/claude-desktop-realtime-audio-mcp.git
cd claude-desktop-realtime-audio-mcp

# Install dependencies
npm install

# Build the project
npm run build

# Configure Claude Desktop
# (Instructions will be provided in setup documentation)

🤝 Contributing

We welcome contributions of all kinds! Whether you want to:

• 🐛 Report bugs or issues
• 💡 Suggest new features or improvements
• 🔧 Submit code contributions
• 📚 Improve documentation
• 🧪 Help with testing

Please see our Contributing Guide for detailed information on how to get started.

📖 Research & References

This project builds upon extensive research in:

• MCP Protocol: Model Context Protocol Documentation
• Windows Audio: WASAPI Documentation
• Speech Recognition: Real-time speech processing and chunking strategies
• Node.js Native Modules: FFI and node-gyp integration patterns

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Anthropic for Claude and the Model Context Protocol
• OpenAI for Whisper speech recognition
• The Node.js and TypeScript communities for excellent tooling
• Microsoft for comprehensive WASAPI documentation and examples

📞 Support & Community

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Documentation: Wiki

⭐ Star this repository if you find it interesting or useful!

This project aims to make voice-driven AI conversations more natural and accessible. Join us in building the future of human-AI interaction.