What platforms does Claude Desktop Real-time Audio MCP support?
Windows 10/11 (Windows 7+ with WASAPI support) are required. No macOS or Linux support is currently planned.
Claude Desktop Real-time Audio MCP Server
@joelfuller2016
基本信息
关于 Claude Desktop Real-time Audio MCP Server
Real-time microphone input MCP server for Claude Desktop on Windows - enabling live voice conversations with Claude through WASAPI audio capture and real-time speech recognition
Claude Desktop Real-time Audio MCP Server 配置
Claude Desktop Real-time Audio MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Claude Desktop Real-time Audio MCP?
A Model Context Protocol (MCP) server that enables real-time microphone input for Claude Desktop on Windows. It bridges the gap between Claude's conversational AI and live voice input by integrating the Windows Audio Session API (WASAPI) and multiple speech-to-text engines.
How to use Claude Desktop Real-time Audio MCP?
Clone the repository, install dependencies with npm install, build with npm run build, and then configure Claude Desktop to use the server. Detailed installation and setup documentation will be provided with the first release. Note that the project is currently under active development and not yet ready for production use.
Key features of Claude Desktop Real-time Audio MCP
- Real-time audio capture using Windows WASAPI with low latency
- Multiple speech-to-text engines: OpenAI Whisper, Azure Speech, Google Speech
- Intelligent voice activity detection and silence handling
- Automatic audio device enumeration and selection
- Multiple audio format and sample rate support
- MCP integration for seamless use with Claude Desktop
Use cases of Claude Desktop Real-time Audio MCP
- Voice-driven conversations with Claude Desktop for hands-free interaction
- Real-time transcription of microphone input using local or cloud STT engines
- Building accessibility tools that rely on natural voice input for AI assistants
- Rapid prototyping of AI voice interfaces on Windows with minimal latency
- Integrating live speech recognition into any MCP-compatible application
常见问题
What are the runtime dependencies?
Node.js 16+ with npm, Visual Studio Build Tools (for native C++ compilation via node-gyp), Python 3.8+, and Git.
Is this project ready for production use?
No — it is under active development (Phase 1 of 6 as of the roadmap) and should be considered experimental. Installation instructions and a stable release are targeted for September 2025.
Which speech-to-text engines are supported?
OpenAI Whisper (local), Azure Speech Services (cloud), and Google Speech-to-Text (cloud) are planned for integration in Phase 4 of the roadmap.
Where does audio data get processed?
Audio capture occurs locally via WASAPI. Speech transcription can be performed locally (Whisper) or sent to cloud services (Azure, Google). No details on data retention or encryption are provided in the current documentation.
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