ElevenLabs Scribe MCP Server

What is ElevenLabs Scribe MCP Server? ElevenLabs Scribe MCP Server is a Model Control Protocol (MCP) server implementation for ElevenLabs' Scribe speech-to-text API, providing real-time transcription capabilities with advanced context management and bidirectional streaming. How to use ElevenLabs Scribe MCP Server? To use the server, clone the repository, set up a virtual environment, install dependencies, and start the server. You can transcribe audio files or stream audio from your microphone using the provided example client. Key features of ElevenLabs Scribe MCP Server? Real-time transcription from microphone input File-based transcription for batch processing Full MCP protocol support for context management WebSocket support for real-time communication Automatic language detection and confidence scoring Event detection for speech and non-speech audio Use cases of ElevenLabs Scribe MCP Server? Real-time transcription for live events or meetings. Batch processing of recorded audio files for transcription. Integration into applications requiring speech-to-text capabilities. FAQ from ElevenLabs Scribe MCP Server? What programming language is used? The server is implemented in Python. Is there a limit on audio file size? The server can handle various audio formats, but practical limits may depend on server resources. Can I use it for multiple languages? Yes, it supports automatic language detection.

As an MCP (Model Context Protocol) server, ElevenLabs Scribe MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, clone the repository, set up a virtual environment, install dependencies, and start the server. You can transcribe audio files or stream audio from your microphone using the provided example client. Key features of ElevenLabs Scribe MCP Server? Real-time transcription from microphone input File-based transcription for batch processing Full MCP protocol support for context management WebSocket support for real-time communication Automatic language detection and confidence scoring Event detection for speech and non-speech audio Use cases of ElevenLabs Scribe MCP Server? Real-time transcription for live events or meetings. Batch processing of recorded audio files for transcription. Integration into applications requiring speech-to-text capabilities. FAQ from ElevenLabs Scribe MCP Server? What programming language is used? The server is implemented in Python. Is there a limit on audio file size? The server can handle various audio formats, but practical limits may depend on server resources. Can I use it for multiple languages? Yes, it supports automatic language detection.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.