claude-desktop-realtime-audio-mcp

joelfuller2016/claude-desktop-realtime-audio-mcp

3.2

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Claude Desktop Real-time Audio MCP is a server that facilitates real-time microphone input for Claude Desktop on Windows, integrating with the Model Context Protocol for seamless voice-driven AI interactions.

Claude Desktop Real-time Audio MCP

License: MIT Node.js Version Windows

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 for detailed information on how to get started.

📖 Research & References

This project builds upon extensive research in:

📜 License

This project is licensed under the MIT License - see the 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

⭐ 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.